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Robots: America’s Answer to Dwindling Math Scores

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Home Page > Education > Robots: America’s Answer to Dwindling Math Scores

Robots: America’s Answer to Dwindling Math Scores

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Robots: America’s Answer to Dwindling Math Scores

By: Nick Cherney

About the Author

Nicholas L. Cherney III graduated in Electrical Engineering at the University of Cincinnati and currently works in the telecommunications industry. He resides in Cincinnati, Ohio with his wife Erin and newborn Nathan. Feel free to visit my family website at http://www.cherneycharm.com This article is also available in a .pdf format that will include missing pictures. Please email me at stok3d@gmail.com.

(ArticlesBase SC #100469)

Article Source: http://www.articlesbase.com/ – Robots: America’s Answer to Dwindling Math Scores

I. Introduction

“You can’t achieve what you can’t conceive.”

-Author unknown

The United States of America may lose its supremacy as a superpower if our children of today can’t grasp the technologies of tomorrow. The trend has already been set. High-level engineering jobs are currently being outsourced to other nations, not only because of cheaper costs, but inadequacies of filling them in the states. Let’s face it; there are not too many Americans who strive to have a doctrine in Electrical Engineering to do research and development. To other countries like Korea, many students see Math as the “universal language” and foresee a technically based doctorate level diploma as a necessity for excelling in their country. To many, this is the only road out of poverty. American children, stereotypically, do not have this fear to motivate them. Many children in this “superior” country just view mathematics as something needed to pass a proficiency test. Its value is discarded. The implementations are unseen. The desire of children to follow this type of career path is decreasing. Obviously, these future implications are disturbing and may some day be detrimental to the foundation of our country. However, I believe nurturing children’s enthusiasm in needing to use math may be the answer. Not surprisingly as stated in Robots for Kids, “Robots rank right up there with dinosaurs when it comes to grabbing the attention of elementary school students…” [1 p. 232]. Hence, I predict an interest, active participation, and proper guidance in robotics will increase nationally recorded math scores.

II. Staggering Math Scores

The facts don’t lie. According to the US Department of Education in 1999 [2], the United States ranked 12th among 4th graders, a staggering 28th among 8th graders, and just 19th among seniors in nationally recorded math scores. How can poverty stricken and problematic country like Israel be three rankings ahead of us with 8th graders? Clearly, money isn’t the answer. Nor do I believe Israelis have fewer fears about violence than our inner city children do to distract them. Although I’m a bit perplexed by the answer, I believe solution lies in a child’s own aspirations and inner desires. Many of our youth dream to be professional athletes or pop singers. That’s what they see. That’s what they know. That’s what they love. These young easily influenced children view these avenues not only as fun, but also as a means for financial freedom. With mathematics being the “universal language,” children in other countries may see this as the only way to break through levels of poverty and thrive in life. Let’s face it; math can be a difficult subject to grasp. Unless one either has the first name ‘Albert’ or discovers motivational reasons to put forth extra effort, the scores will suffer. The Third International Mathematics and Science Study (TIMSS) has found that “students who agreed that they like math and that math was useful for solving problems, scored higher than students who disagreed” [3]. To no surprise, many educators have already taken this as a given. The question that now arises is how to motivate the children? Or better yet, how does one follow a handed-down curriculum while taking advantage of today’s enticing technologies? As stated by Druin and Hendler, “I believe the desire for learning has to do with an animating idea or an engaging project. New technologies enable students of all ages to pursue richer, far more complex learning experiences. With robots, students can truly be scientists, engineers, designers, and builders” [1 pp. 161-62].

  Grade 4 Grade 8 Grade 12

Rank Nation Score Nation Score Nation Score

1 Singapore 625 Singapore 643 Netherlands 560

2 Korea 611 Korea 607 Sweden 552

3 Japan 597 Japan 605 Denmark 547

4 Hong Kong 587 Hong Kong 588 Switzerland 540

5 Netherlands 577 Belgium 565 Iceland 534

6 Czech Republic 567 Czech Republic 564 Norway 528

7 Austria 559 Slovak Republic 547 France 523

8 Slovenia 552 Switzerland 545 New Zealand 522

9 Ireland 550 Netherlands 541 Australia 522

10 Hungary 548 Slovenia 541 Canada 519

11 Australia 546 Bulgaria 540 Slovenia 518

12 United States 545 Austria 539 Germany 495

13 Canada 532 France 538 Hungary 483

14 Israel 531 Hungary 537 Italy 476

15 Latvia 525 Russian Fed. 535 Russian Fed. 471

16 Scotland 520 Australia 530 Lithuania 469

17 England 513 Ireland 527 Czech Republic 466

18 Cyprus 502 Canada 527 United States 461

19 Norway 502 Belgium 526 Cyprus 446

20 New Zealand 499 Sweden 519 South Africa 356

21 Greece 492 Thailand 522    

22 Thailand 490 Israel 522    

23 Portugal 475 Germany 509    

24 Iceland 474 New Zealand 508    

25 Iran 429 …(28th)United States 500

   

Figure 1: Third International Mathematics and Science Study (TIMMS) of 1999 Math scores [2].

Figure 2: Average mathematics scores by students that state “I like math” [3].

Figure 3: Average mathematics scores by students that state “Mathematics is useful for solving everyday problems” [3].

III. Robots in the Media

Television may be lending a helping hand in the educational pursuit of sparking kid’s interest in robots. Maybe the eyes have been blessed to see Honda’s commercial of a 4 foot robot walking down the driveway to pickup a Sunday paper. This completely autonomous robot, which appears to be wearing a space suit, is currently on tour around the world. This “Advanced Step in Innovative MObility,” or better known as ASIMO, is the result of a robotics program that began in 1986. Being the most advanced humanoid robot in existence, this intriguing creation walks on two legs, has 26 degrees of freedom, can walk up steps, and is currently on a North American Educational Tour. Recently, this technological marvel visited the Bronx schools in an attempt to “encourage the interest in the study of robotics and science” [4]. Even a section on the website is dedicated to teacher’s resources for children. With ASIMO, Honda is truly giving our youth “The power of dreams” [4].

Sony is also doing its part to “Change the way you see world.” AIBO has become a pet of the future for many while the SDR-4X II is all the rave. AIBO is an autonomous dog that can learn, do tricks, and express feelings. This approximately $2000 piece of entertainment is completely programmable for upgrading and educational purposes. Be prepared for the pet to express 6 different types of feelings, act according to its environment and attention it’s receiving, seek out its toys, and without human help it will wake up and fall asleep on a charging station. Not only does the dog mature overtime, but also it won’t dirty the carpets as a puppy! The SDR-4X II, on the other hand, literally has become the rave among youngsters. This humanoid can be caught “raving” (a techno dance technique), throwing balls, doing tai chi, and even jogging. Even better, the video clips available on the Internet and television demonstrate five of them doing it in unison. And it gets better! This robot also has face recognition, a 20,000-word vocabulary for speech recognition and synthesis, color recognition, and still finds time to map out a room for optimum placement to show off. Now only if this thing didn’t need to be charged. Oh, did I mention work is already being done on that [4, 5]?

The stated robots do a wonderful job of creating attention for themselves and portraying to youngsters “cool” jobs to have when they grown up. However, I believe the television show Robot Wars is a driving force for inspiring them to begin building. I can vouch as living proof of that statement. Turn on TechTV and you will have the pleasure of watching robots battle to the death in an arena that has gusts of fire, pits to oblivion, and flippers that launch unfortunate robots through the air to their doom. Combine this with hundreds if not over a thousand screaming children in the stands and this show becomes a quick favorite. The program’s website even provides a daily quench for the thirst of building. Direct links are provided on how to start creating robots from home. GI Joes begin to look like baby toys in comparison to a 500 pound robot that shoots fire, spins blades, has crushing pinchers, and is moving strictly to survive and destroy someone else’s creation. Inside this 20- by 54-foot arena is the ultimate in robot combat and competition. Children love it [7, 8]!

IV. Creative Avenues

A common place many turn to when compelled to build a bot is David Cook’s book, Robot Building for Beginners. Following these instructions, not only will a line following robot be built, but math is unavoidably used and pursued. In order to understand speed, one must first understand Revolutions Per Minute, trade offs between speed and torque, battery levels, friction, robot mass and ways to manipulate these values with different voltages, gear ratios, and tire sizes. Trial and error is always an option and, might I add, a popular one amongst beginners. Remember, robotics is something that making a mistake is ‘OK’ and a tremendous amount of the learning results from these mistakes. However, this is where a teacher steps in and provides a ‘bag of tricks’ to the knowledge hungry children. I believe Miller and Stein say it best when they detail reactions from a second grade class:

“…several students will stare with awe and admiration at the one or two students who know their multiplication tables and can predict how many times a motor needs to turn to make the wheel on their robot turn once… All of a sudden radii, circles, circumferences, and so on have utility—as one of our students suddenly loudly exclaimed, “So that’s what pi is for!”” [1 pp. 231-32].

Wow, all that to just determine speed. Lets not forget that the person reading the book is going to learn about materials science (i.e. textile strength), basic electronics (voltage = current * resistance), mechanics (loads and stress), diodes, resisters, capacitors, LEDs, and all the tools and procedures to use them effectively. At first glance, this may seem like a lot to learn for a child. Remember this: it’s not the teacher’s lessons being forced on the kids, it’s their own! What child becomes enthused with a question stating, “If Jack is half as old as Jill, and Jill is one third as old as Jan? Then how old is Jack on Jan’s 60 birthday?” Building robots is a teacher’s dream–true problem solving with the added benefit of enthusiasm [9].

With DC robots, the sky is the limit on how technical the project will become. However, sometimes quicker and less complex solutions may be more appropriate. BEAM technology uses solar energy to power very simplistic, yet captivating, robots. This acronym for Biology Electronics Aesthetics Mechanics represents an area of robotics using no computational power, inspirations from Mother Nature, a focus on designs that appeal to the eye, while making it all work with the small amount of power given from a solar panel. There are rarely circuit boards used, no programming is involved, and just a few inexpensive are parts needed. My first BEAM robot involved a paper clip, a pager motor, a solar panel, a capacitor, and a little solder. In about 20 minutes, the 5 parts came to life! The beauty of these robots is the simplicity to build, the parts are cheap to buy or easily found in techno junk around the house, and only a soldering iron is necessary to build them. While these robots generally take the form of a bug or some other small creature, they have a large appeal to children. Projects are very quick. This fact alone adheres to those with a short attention span who want immediate feedback on their progresses. In addition, many of the basic principals of science and biology are incorporated in the design and can be discussed with respect to solar energy. Visits to the zoo will become more educational as children will seek out animals to mimic their moments and appearance. “Construction material and project ideas that appeal to a broad range of interests allow multiple entry points into science, mathematics, engineering, design, art and music for all types of learners. These materials not only make new knowledge domains accessible, but also provide new ways for children to relate to domains of knowledge to which they have already been exposed” [1 p. 22]. In addition, an obvious challenge of this solar technology is to minimize the current used and find ways of storing (capacitors) what little energy that is available. Hence, young robotists will learn the importance of reading and comprehending part data sheets in order to choose the appropriate parts wisely. Naturally, some of the most basic problem solving techniques are utilized at its finest [10].

When the pupil is young or the soldering skills have not quite matured, Lego Mindstorms is always an exceptional choice. Actually, anyone of any age will find this technical and robotic line of Legos a wise investment. Not only are the parts reusable and nonexclusive to a particular project, but also they can be programmed in various languages on a computer from Visual Basic to Lego’s own object oriented programming language. No cables are needed either. All of this can be done via an infrared transmitter! It’s difficult to fathom how Legos have walked hand-in-hand with technology. For example, let’s take a closer look at the kit “Robotics Invention System 2.0.” This set includes a battery operated RCX Microcomputer used to store programs and connect all the peripherals, 718 pieces which include 2 motors, 2 touch sensors, and 1 light sensor, a USB infrared tower, and a simple yet powerful picture based programming language on CD. Of course, all the Legos from any of the prior kits can be used in conjunction with this educational tool. In addition, at the Mindstorms website, there is a free online program in which to create projects choosing any Lego in existence. This 3D virtual environment is ideal for posting creations on the web or experimenting with Legos that have yet to be purchased [11, 12, 13].

As a result of the software included, children can have their first robot built in less than an hour after purchase. There are a slew of practice lessons, training sessions, and missions included on the CD. Each of these training sessions teaches a specific capability of the Robotics System while describing various ways to test, troubleshoot, and tweak the constructions. Eventually, the lessons will escalate into such capabilities as: using sensors to interact with the environment, programming with icons that represent blocks of code, and create environmental responses for the robot to do anything its creator desires. By the time the CD is completed, nearly all the fundamental techniques necessary to complete projects will have been covered [11, 14].

Already, there are over a dozen books written about Lego Mindstorms with detailed how-to’s of creating everything from a scanner, musical instrument, and a picture creator, to a spy bot, fingernail polisher, and M&M color sorter. I even own books that describe the creations of an ATM machine, card dealer, elephants that squirt water, and even a robot that does the work of cleaning the Lego’s from the floor [15]. By completing these projects, according to Cole and O’Conner, “(Educational) benefits include helping children to improve their concentration skills, work with instructions, problem solve, and develop patience” [16]. This line of Legos created by MIT professors is currently being used with thousands of educators across the world. Since most children only view the robot as a “toy”, they tend to stay highly focused and engaged throughout the lessons. Thus allowing more productive group settings, more creative and in depth solutions to given scenarios, and development of interpersonal skills and team-building skills. All of this is accomplished without the use of a pencil [17, 18]!

V. Case Study

If something can’t be measured, then I believe it cannot be proven or improved. My hypothesis is that with an interest, active participation, and proper guidance in robotics, the TIMMS scores on average will increase at least 10 points over a year’s time. Since the tests are taken at 4th, 8th, and 12th grade years respectively, this undertaking would need to involve an entire school system and then relate the scores to the year’s prior. Remember, the content of an experience, and not so much the tools, are what is vital to learning. Hence, the roles, guidance, and trainings of the teachers and designated robot/BEAM/Lego Mindstorms “experts” cannot be stressed enough. It is naive to consider placing a computer in front of a person and expecting one to be capable of building a network, creating a webpage, or becoming fluent in a programming language. The same goes for robotics. When launching this curriculum upgrade in the beginning of a fall school year, it is essential to educate the teachers during the prior summer. Obviously, this time will be spent to understand the equipment, discuss and personalize previously created and borrowed lesson plans, and provide an entire summer of uninhibited experimentation. However, this is also a period to overcome any fears or dislikes of technology and change. “For example, some people uncomfortable with new ways can replicate the old ways by using technology. It is a safe way to sneak up on change… Some teachers, who have little experience with new technologies in their classroom, have been known to force-fit new technologies to well-worn curricula” [1 p. 159]. For this case study to be effective, educators must embrace breaking through the mold of “old school” comfortable habits and adhere to the potentials of what technology can foster. This is, of course, the pursuit of “richer, far more complex learning experiences [1 p. 161].

The procedure itself is laid out in a similar pattern amongst the different grade zones. Months prior to the start of the school year, a letter detailing the curriculum changes should be sent out to all the parents. This letter should brief the intentions and communicate resources that a parent could turn to for pre-exposure to themselves and their children with the upcoming technologies. Parental support and involvement are essential to exceeding expectations in this new process.

A. Elementary School

Beginning with the elementary level, grades 1-5, the year should begin with a speaker. Here, Lego Mindstorms will be introduced and accompanied with a display case full of inventions. Demonstrations will be shown to all. This will incite interest and curiosity amongst the listeners. Also, leaving these creations in a strategic trophy-case-like display will perpetuate the excitement and foster a desire for involvement. Lego Mindstorms will be added to the curriculum. This time invested can be substituted for some of the weekly sciences and designated math time slots. When executed properly, the lesson plans of different mathematical principals can be shared as helpful hints to the students. Also, in replacement of the annual science fair, a “Lego Fair” could be established. This will provide for more parental involvement regarding the Mindstorms. How many projects are really done 100% by the student anyway? Also, a sense of pride and achievement will be attained in the ownership of a creation on display for everyone to see. In addition, having the student stand by the project during showing to answer questions and provide detailed descriptions and demonstrations will solidify the understanding, theories, and principles used in the creation process.

Just as in high school, I believe tenure and seniority should have its perks. Assuming the continuation of this curriculum advancement, 4th and 5th graders would eventually have 3 and 4 years of Mindstorms experience under their belts. Thus, allowing for more advanced projects and deeper problem solving capabilities. To add fuel to this fire, a monthly competition could be established solely for the “upper class people.” This could involve creating a solution to build a robot that follows a line and picks up Legos, a race around a track following a line, or even a robot that can navigate through a simple maze. Whatever the challenge; a secret agenda should be accomplished. Carefully choose a project that is best solved using principles that coincide with the forecasted science or mathematical lesson plans that month. I believe this would serve as an honor to be old enough to participate in these activities. Student involvement would inevitably increase as a result. Also, what’s better than having a child seeking out mathematical tricks from the teacher, i.e. how to use fractions for simplification of programming timings, in an attempt to gain a competitive advantage over a fellow classmate? Stated in business terms, competition fosters innovation. Then last of all, administer the TIMMS tests and compare the scores to a prior non-Lego integrated year.

B. Middle and Junior High School

In a similar fashion, grades 6th through 8th will experience robotics with a heightened level of technical skills necessary to complete the projects. The main differences are the integration of electrical components, basic electrical principles, soldering techniques, and solar technology used in the foundation of BEAM technology. A guest will also be brought in at the start of the school year for the technical overview and exhibitions of a display-case amount of BEAM robots. However, this speaker will also be an electrical engineer. This expert will relay the pertinence of the BEAM skills to be learned as they are utilized in the real world. Also, the professional should state the educational path best taken in math and science to prepare for a college major in this field. As with the elementary children, the creations will be left on display and questions will be welcomed both during the presentation and on a one-on-one basis.

Since students will more than likely be changing classes for the different subjects, the science labs should be equipped with the necessary tools for the solar robots. This robotics class will need to be slotted in a certain portion of the week in replacement of the sciences. In addition, a yearly BEAM robot fair should also be created. Robots that interact, seek out light, and intertwine independent ideas (as apposed to just following directions out of a book) should be suggested. A new twist will be added to this fair though. Students will be required to provide a write-up that details schematics, electrical calculations, and descriptions of the robot. This should even include how light transforms to energy for the motor. This insures that the student is actually understanding the creation and learning the principles—not just excelling in the field of directions following. If the Beam Robot Fair is the yearly event for all grades, the monthly projects for the privileged 8th graders could be a robot race. I would like to better name these functions “The Solar Roller Races.” Here, students will create solar powered drag cars to race their fellow classmates. These simple creations will be entered into a bracketing system in which the monthly winners will have their names engraved on an annual plaque. Winners could be encouraged to retire that car and work on a new one for the next month. This will encourage continued devotion to these races from everyone. And as the last step in this process would be, TIMMS test should be administered to the students and compared to prior non-robot years.

C. High School

With no surprise, the most involved, demanding, and in depth robotic projects will be asked of those in high school. The sky is the limit on the complexity of any project here. Also, in hopes of keeping the robotics program alive for many years, those who began with the Lego Mindstorms will be able to utilize their skills since first grade on the projects. Robot bases can easily be made of Legos and light can also be used as a power source. Students will eventually learn there are advantages and disadvantages to every decision they make.

The school year for grades 9-12 will follow in line with K-8 and begin with a visit from a speaker. This speaker will be an Electrical Engineer fluent in the field of robotics. Again an overview will be given, creations will be demonstrated, a Q/A session will take place, career paths will be detailed, and specific class routes will be suggested. Although the speaker descriptions appear to just be reiterations of other grade levels, the importance cannot be stressed enough. Many teenagers begin career paths based upon what they enjoy. Hopefully, those who become passionate about robotics understand the importance of accelerated classes for technical majors in college. This fact cannot be forgotten. The classes specific to robotics will be offered to each grade level with increasingly more in depth coverage for the higher grades.

Also, instead of a yearly robot fair, I desire the yearly event to be participation in FIRST. “For Inspiration in Science and Technology” is a 6 weeklong competition modeled after an MIT 2.70 mechanical engineering class [1 p. 248-49]. As described on the FIRST website:

“The FIRST Robotics Competition is a national engineering contest which immerses high school students in the exciting world of engineering. Teaming up with engineers from businesses and universities, students get a hands-on inside look at the engineering profession. In six intense weeks, students and engineers work together to brainstorm, design, construct and test their “champion robot.” With only six weeks, all jobs are critical path. The teams then compete in a spirited, no-holds-barred tournament complete with referees, cheerleaders and time clocks.

The partnerships developed between schools, businesses, and universities provide an exchange of resources and talent, highlighting mutual needs, building cooperation, and exposing students to new career choices. The result is a fun, exciting and stimulating environment in which all participants discover the important connection between classroom lessons and real world applications.

Each year, the competition is different, so returning teams always have a new challenge to look forward to. However, the details are kept secret until the unveiling at the Kick-Off workshop. This provides a high level of excitement as everyone sees the new challenge for the first time and ideas immediately being forming in people’s minds” [19, 1 pp. 248-49].

Upper class people will also have their privileges in high school. The monthly event open to 10th and 11th graders could be robot sumo. Here, students will create completely autonomous robots and mimic the rules of one of Japan’s most popular sports—sumo. Instead, the idea is for the size and weight class restricted robots to push each other out of a circular ring. Robot sumo has already made its way into many robot clubs, high schools, and universities. The popularity of this event can be credited to its low part costs and simplicity of rules. In 2001 alone, more than 4,000 robots competed in a 4-month season in Japan and those numbers are growing at an exponential rate. Innovation is what keeps this “game” growing in numbers and proves invaluable for student participation and educational advancement [20].

Naturally, in order to prove my hypothesis, the high school students would also need to be administered an internationally recognized TIMMS exam. These scores would then need to be compared to non-robotic years.

VI. Conclusions

Although the robotic case study has not been implemented to test my hypothesis, I will make predictions on the findings. As forethought, I also believe the conclusions to be correct to a high amount of accuracy. There are many ingredients to this success and I will attempt to touch on most of what I consider obvious outcomes. However, as a person of science, I admit that these ideas are not factual and even incomplete without the study actually taking place.

Public displays of projects and competitions have fostered extraordinary outcomes. So does the cooperative participation with all students. In time, I believe this will portray robotics as a “cool” thing to do in school. This being the case, some of the educational barriers will be hurdled in the process. Especially during the competitions, students will be working with the adults and not for them. Realizations that it is not the gender, race, creed, sex, or social status that matters in reference to partnering in robotics, but what they know and can contribute to the cause is a vital lesson. The differences in people will be grayed out while their possibly unknown qualities will shine. Robotics gives a chance for people who generally wouldn’t have associated with each other to seek each other out for their robotic potential [1 pp. 287-88].

Specifically looking at gender differences, it is important to note the participation of females in robotics. A finding from Robocamp states, “It appears that girls in particular may need encouragement and a formal structure in order to experiment and be creative… They would do more advanced exercises only when specifically asked” [1 p. 321]. Another finding exhumed from the book Robots for Kids details finding at an elementary school in Reston, Virginia. Believing the importance of ideas to be best left in the author’s words,

“We (KISS Institute for Practical Robotics) distributed flyers to the fifth and sixth graders (ages 10-11), and the next day 30 registrations appeared: 29 boys and 1 girl.

This overwhelming imbalance highlighted an obvious need to reach out to girls, and this inspired immediate action on our part. We received permission to present short robot demos for second graders. During these demos, students were invited to push buttons, flip levers, and otherwise interact with a couple of real robots. We then distributed flyers to the second graders for an after-school robotics class. This time we had enough response to form two classes, and about 40 percent of the registrants were girls.

Four years later when this group became sixth graders, we again offered a fifth/sixth-grade class. This time half the students who signed up were female. None of this resembles an actual scientific study (why we are developing); however, there was a fairly strong indication that when students had a fun experience with robots at an early age, they were much more likely to pursue that topic at a later point in their life. Presumably, the same effect would occur later in life, in that students would be more likely to choose college courses and/or career paths further down the line after having been exposed to fun experiences with robotics in middle and high school” [1 pp. 232-33].

Along with the proposed findings that more students will choose a technical career later in life, I believe that local robotics clubs will also begin forming in the community. This will lead to in depth community involvement of older more experienced people volunteering for robotics help in the local schools. Hence, this cycle will lead to better teachings and of course better projects. Also, I believe this will help perpetuate a more enjoyable school experience for children. This can be proven just by a jump in attendance. Another way to validate the statement is to look at the children’s Christmas/birthday lists. I believe they will include more robotic related materials than before.

All of these reasons encapsulate why math scores will improve. More specifically, I believe scores will improve by at least 10 points on the TIMMS scores as compared to non-robotic years. I say this because,

“In regular classes many teachers try to use grades to motivate students, and sometimes they miss the mark. It is best for students to push themselves to excel, so teachers give exams to test student achievement and attach a grade to motivate students to do their best. But one of the real problems of…education is that grading standards vary widely and continually slip downward. At the same time, students would seem to be foolishly wasting their time if they did anything more than the minimum required to get an ‘A’ in a class” [1 pp. 289].

Also, I foresee a higher enrollment in advanced math and science classes. This is, of course, a result of more students having their eyes opened to technical careers and taking proactive educational steps to achieve these dreams. If more students enroll in advanced math classes, then more students will score better on nationwide math based exams. In addition, lets not forget that students have been unknowingly working on problem solving skills and math based robotic inspired formulas for the duration of the year. The best part is that these processes were probably utilized in a majority of the student’s free time as projects were being created and completed. If portions of students are inspired to focus on robotics every spare hour they are free, increased math use is unavoidable. Hence, with this practice, so is improvement upon these skills. A 12-year long study of the continued robotic intervention of the 1st graders to their 12th grade testing would be interesting. The implications of perpetuated involvement in the robotics field would be fascinating.

People under the legal age of 18, or dare I categorize them as children, possess all the tenacity, creativity, and capacity to learn, as do adults. Channeling these incredible energies into something as positive and productive as robotics will have effects that ripple on beyond our comprehension. As best stated by a high school participant in FIRST, Daniel Lehrbaum shares his insight on people.

“…I think if students are put in a position where their opinions are valued and their designs are valued and people listen to them, suddenly they can rise to that new level. I think the one thing is that people fill the shoes that you put them in. If the engineers and advisors (that assist the team with FIRST) put them in really big shoes, they are going to fill them. They will do the things they need to do to get the job done. Especially if they are, you know, dedicated to the cause. People can do incredible things” [1 p. 271].

References

1. Druin, Allison, and Hendler, James, eds., Robots for Kids: Exploring New Technologies for Learning, San Diego, Academic Press, 2000, pp.159-62, 232-233, 248-249, 271, 297-288.

2. US Department of Education, National Center for Education Statistics: Overview and Key Findings Across Grade Levels, March 1999, , accessed May, 12 2004.

3. National Center for Education Statistics, Mathematics: The Nation’s Report Card (home), 17 June 2003, , accessed May, 12 2004.

4. Honda, ASIMO: North American Educational Tour, 2004, , accessed May, 12 2004.

5. Sony, Enhanced Motion Control and Communication Capabilities in Small Biped Entertainment Robot (SDR-RX II) to be Exhibited at RBOBDEX2003, 24 March 2003, , accessed May, 12 2004.

6. Sony Electrons e-Solutions Company, ERS-7: AIBO Entertainment Robot, 2002, , accessed May, 12 2004.

7. TechTV, Robot Wars (Home>TV Shows>Robot Wars), 2004, , accessed May, 12 2004.

8. Karagiannis, Konstantinos, “Exploring Robotics Online,” Popular Electronic, April 1999, pp. 9-12.

9. Cook, David, Robot Building for Beginners, Berkeley, Apress, 2002.

10. Hrynkiw, Dave, and Tilden, Mark W, Junkbots, Bugbots & Bots on Wheels: Building Simple Robots with BEAM Technology, Berkeley, McGraw, 2002.

11. Lego, Lego Mindstorms, 2004, , accessed May, 12 2004.

12. Sato, Jim, trans., Jim Sato’s Lego Mindstorms: The Master’s Technique, Berkeley, No Starch Press, 2002.

13. McComb, Gordon, “Cyberk’nex—Part Robot, Part Fun,” Poptronics, March 2001, pp. 55-56.

14. Williams, Marifrances, “New Legos Let Kids Become Droid Designers,” Electronic Design, 8 March 1999, p. 68.

15. Erwin, Benjamin, and Paperet, Seymour, Creative Projects With Lego Mindstorms, Second ed., Boston, Addison, 2003.

16. Cole, Lisa, and O’Connor, Jane, “The Nuts and Bolts of Robot Building with Kids,” Tech Directions, February 2003, pp. 19-22.

17. Mauch, Elizabeth, “Using Technological Innovation to Improve the Problem-Solving Skills of Middle School Students,” Clearing House, March/April, 2001, pp. 211-13.

18. “Using and Hacking Robots with Lego Mindstorms,” Poptronics, January, 2000, pp. 61-64.

19. FIRST, “For Inspiration and Recognition of Science and Technology,” , accessed May, 12 2004.

20. Miles, Pete, Robot Sumo: The Official Guide, Berkeley, McGraw, 2002.

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About the Author:

Nicholas L. Cherney III graduated in Electrical Engineering at the University of Cincinnati and currently works in the telecommunications industry. He resides in Cincinnati, Ohio with his wife Erin and newborn Nathan. Feel free to visit my family website at http://www.cherneycharm.com This article is also available in a .pdf format that will include missing pictures. Please email me at stok3d@gmail.com.

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admin Robotics America’s, answer..., Dwindling, math, Robots, Scores

Military Robots And Unmanned Vehicles Market

WinterGreen Research announces the following study: Military Robots and Unmanned Vehicles Markets, Worldwide, Market Shares, Strategies, and Forecasts, 2010-2016 Military robot automation of the defense process is the next wave of military evolution. As automated systems and networking complement the Internet, communication is facilitated on a global basis. The military charter is shifting to providing protection against terrorists and people seek to maintain a safe, mobile, independent lifestyle. Much of the military mission is moving to adopt a police force training mission, seeking to achieve protection of civilian populations on a worldwide basis. The use of Military Robots s is based on providing a robot that is less expensive to put in the field than a trained soldier. That automation of process has appeal to those who run the military. Key words: military robots, unmanned military vehicles, sensor networks, bomb detection robots, robot drive control, robot batteries

Table of Contents
Military Robots Executive Summary
Military Robots Executive Summary ES-1
Military Ground Robot Market Driving Forces ES-1
Future Combat System (FCS) Program Transitions to
Army Brigade Combat Team Modernization ES-2
Robots Operate Independently ES-2
Military Robots Market Driving Forces 5
Military Ground Robot Market Shares ES-6
BAE Systems Ant Size Robot ES-7
Military Ground Robot Market Forecasts ES-8

1. MILITARY ROBOTS MARKET DESCRIPTION AND MARKET DYNAMICS 1-1
1.1 Delivering Robotic Capabilities to Combat Teams 1-1
1.2 Military Robot Scope 1-2
1.2.1 Military Robot Applications 1-3
1.3 Army’s G8 Futures office 1-6
1.3.1 Delivering Capabilities to the Army’s Brigade Combat Teams 1-8
1.3.2 Transition Between The Current Market And Where The Market Is Going 1-9
1.3.3 Different Sizes of UGVs 1-10
1.4 Types of Military Robots 1-12
1.4.1 Telerob Explosive Observation Robot and Ordnance Disposal 1-12
1.4.2 QinetiQ North America Talon® Robots Universal Disrupter Mount 1-15
1.4.3 General Dynamics Next-Generation CROWS II Increases Soldiers Safety 1-17
1.4.4 Soldier Unmanned Ground Vehicle from iRobot 1-18
1.5 UGV Enabling Technologies 1-19
1.5.1 Sensor Processing 1-20
1.5.2 Machine Autonomy 1-21
1.6 Military Robot Bandwidth 1-22
1.6.1 UGV Follow-Me Capability 1-22
1.6.2 Communications Bandwidth 1-23
1.6.3 Battery Power 1-23
1.6.4 Combination Of Batteries Linked To Onboard Conventional Diesel 1-24
1.7 SUGVs 1-25
1.7.1 Mid-Size Category UGV 1-25
1.7.2 Large UGV 1-26
1.7.3 U.S. Army Ground Combat Vehicle 1-27
1.7.4 TARDEC 1-28
1.7.5 Tacom 1-29

2. MILITARY GROUND ROBOT MARKET SHARES AND FORECASTS 2-1
2.1 Military Ground Robot Market Driving Forces 2-1
2.1.1 Future Combat System (FCS) Program Transitions to
Army Brigade Combat Team Modernization 2-2
2.1.2 Robots Operate Independently 2-2
2.1.3 Military Robots Market Driving Forces 2-5
2.2 Military Ground Robot Market Shares 2-6
2.2.1 General Dynamics Robotic Systems 2-9
2.2.2 Northrop Grumman Remotec Andros 2-10
2.2.3 Northrop Grumman / Remotec 2-10
2.2.4 Northrop Grumman Remotec UK Wheelbarrow Robots 2-12
2.2.5 iRobot Government & Industrial Robots 2-12
2.2.6 QinetiQ / Foster-Miller 2-15
2.2.7 Qinetiq / Foster-Miller TALON EOD robots 2-16
2.2.8 NAVEODTECHDIV Funds QinetiQ / Foster-Miller Talon Robots 2-17
2.2.9 Foster-Miller TALON Responder and EOD 2-17
2.2.10 Kongsberg CrowsII Military Robot System 2-18
2.2.11 BAE Systems Ant Size Robot 2-19
2.2.12 Telerob Rapid Response Vehicle 2-20
2.2.13 Boston Dynamics 2-21
2.2.14 Robotic Technology Robot 2-21
2.3 Military and First Responder Robot Market Shares 2-23
2.4 Military Ground Robot Market Forecasts 2-27
2.4.1 Mid Range Military Robot Market Forecasts 2-29
2.4.2 High End Military Robots 2-33
2.4.3 Mid Range Unmanned Vehicle UVV Market Forecasts 2-35
2.4.4 High End Unmanned Vehicle UVV Market Forecasts 2-38
2.4.5 SUGVs 2-40
2.4.6 Small Military Robots Used In Networks 2-42
2.4.7 Remotely Controlled Armed Robots Deployed In Iraq 2-45
2.4.8 Robots For Defense And Homeland Security 2-46
2.4.9 U.S. Army Small Unmanned Ground Vehicle (SUGV) 2-47
2.4.10 Defense Advanced Research Projects Agency, or DARPA Tactical Teams 2-47
2.4.11 Application Scope 2-48
2.4.12 U.S. Military Robots Key to Iraq Surge Success 2-48
2.5 Military Robot Regional Market Analysis 2-50
2.5.1 iRobot Geographic Information 2-52

3. MILITARY ROBOTS PRODUCT DESCRIPTION 3-1
3.1 iRobot 3-1
3.1.1 iRobot® PackBot® 510 with EOD Kit 3-2
3.1.2 iRobot® PackBot® 510 with First Responder Kit 3-3
3.1.3 iRobot® Warrior™ 700 3-4
3.1.4 iRobot® PackBot® 500 with RedOwl Sniper Detection Kit 3-5
3.1.5 iRobot® PackBot® 510 with FasTac Kit 3-8
3.1.6 iRobot® PackBot® 500 with ICx Fido® Explosives Detection Kit 3-8
3.1.7 iRobot® PackBot® 510 with HAZMAT Detection Kit 3-10
3.1.8 iRobot® SeaGlider 3-11
3.1.9 iRobot® Ranger 3-12
3.1.10 iRobot Aware 2.0 Robot Intelligence Software 3-13
3.2 Northrop Grumman 3-14
3.2.1 Andros HD-1 : Compact, Lightweight Platform 3-14
3.2.2 Northrop Grumman Vehicle Data / Communication Links 3-17
3.2.3 Northrop Grumman F6A – Versatile Platform 3-17
3.2.4 Northrop Grumman Vehicle Data / Communication Links 3-20
3.2.5 Northrop Grumman Mark V-A1 – Highly Versatile, Robust, All-Terrain Platform 3-20
3.2.6 Northrop Grumman V-A1 Features 3-22
3.2.7 Northrop Grumman Vehicle Data / Communication Links 3-23
3.2.8 Northrop Grumman Mini-ANDROS II – Compact, Capable, Two-Man-Portable Platform 3-23
3.2.9 Northrop Grumman Mini Andros II Features 3-25
3.2.10 Northrop Grumman Vehicle Data / Communication Links 3-26
3.2.11 Northrop Grumman Wolverine – Outdoor, All-Terrain Workhorse 3-26
3.2.12 Northrop Grumman Wolverine 3-28
3.2.13 Northrop Grumman Vehicle Data / Communication Links 3-29
3.3 General Dynamics 3-30
3.3.1 General Dynamics Next-Generation CROWS II Increases Soldiers Safety 3-31
3.4 Kongsberg 3-33
3.4.1 Kongsberg CrowsII Military Robot System 3-33
3.4.2 Kongsberg Addresses Underwater Diver Incursion 3-34
3.4.3 Kongsberg Norwegian Mine Reconnaissance Program 3-34
3.5 BAE Systems 3-36
3.5.1 BAE Systems Ant Size Robot 3-36
3.5.2 BAE Personal Robots 3-38
3.5.3 BAE Systems Large UGV 3-39
3.6 Lockheed Martin 3-39
3.6.1 Lockheed Martin Multifunction Utility/ Logistics and Equipment Vehicle (MULE) 3-40
3.6.2 Lockheed Martin Large NUWC Manta UUV 3-42
3.6.3 Lockheed Martin Large NUWC Manta UUV For The Offshore Oil Industry 3-44
3.6.4 Lockheed Martin AN/WLD-1 Remote Minehunting System (RMS) 3-44
3.7 QinetiQ North America TALON® Robots 3-48
3.7.1 QinetiQ North America Talon® Robots Universal Disrupter Mount 3-50
3.7.2 Qinetiq / Foster-Miller 3-52
3.7.3 Foster-Miller TALON Family of Military Robots 3-53
3.7.4 Foster-Miller New: Two-Way Hailer 3-54
3.7.5 Foster-Miller TALON Responder 3-54
3.7.6 Foster-Miller EOD Robots 3-56
3.7.7 Foster-Miller SWORDS Robots 3-58
3.7.8 Foster-Miller CBRNE/Hazmat Robots 3-60
3.7.9 Foster-Miller TALON SWAT/MP 3-61
3.7.10 Foster-Miller MAARS Robot 3-62
3.7.11 Foster-Miller Dragon Runner Field Transformable SUGV 3-64
3.7.12 Foster Miller TALON GEN IV Engineer 3-65
3.7.13 Foster Miller TAGS-CX Unmanned Vehicle 3-66
3.7.14 QinetiQ TAGS-CX Unmanned Vehicle 3-67
3.7.15 Combat Engineer Route Clearance Robot 3-70
3.7.16 Talon MAARS™ Robots 3-75
3.8 Telerob 3-78
3.8.1 Telerob – EOD / IEDD Equipment, EOD Robots and Vehicles 3-78
3.8.2 Telerob TEODor Heavy Duty Explosive Ordnance Disposal (EOD) Robot 3-80
3.8.3 Telerob Telemax High-Mobility EOD Robot 3-81
3.8.4 Telerob EOD / IEDD Service Vehicles 3-81
3.9 Versa / Allen Vanguard 3-86
3.9.1 Allen Vanguard VANGUARD® ROV 3-88
3.9.2 Allen Vanguard Defender Robot/ROV 3-97
3.9.3 Allen Vanguard ROV-Track CBRNE 3-102
3.10 Boston Dynamics 3-106
3.10.1 Boston Dynamic LittleDog – The Legged Locomotion Learning Robot 3-107
3.10.2 Boston Dynamic PETMAN – BigDog gets a Big Brother 3-109
3.10.3 Boston Dynamic RHex Devours Rough Terrain 3-110
3.10.4 Boston Dynamic RiSE: Climbing Robot 3-112
3.11 Robotic Technology 3-115
3.11.1 RTI Military Memetics (Information Propagation, Impact, and Persistence – Info PIP) Project 3-116
3.11.2 RTI Humanoid And Legged Robots 3-116
3.12 Fujitsu Service Robot (enon) 3-118
3.13 Gostai SOS 3-119
3.14 Kairos Autonomi 3-121
3.15 Scripps Bluefin Robotics Spray glider UUV 3-122
3.15.1 Scripps Bluefin Robotics Spray Glider Sensors, Navigation, and Communications 3-123
3.16 Boeing’s AN/BLQ-11 Long-term Mine
Reconnaissance System (LMRS), 3-129
3.17 Boeing Advanced Information Systems 3-133
3.18 Sonatech 3-135
3.19 BAE Systems Underwater Systems 3-135
3.20 Gunsmith Jerry Baber 3-136
3.21 IVTT Program Intelligent Vehicle Robot Hops Over Walls 3-137
3.21.1 Robotic Technology Precision Urban Hopper 3-139
3.21.2 Robotic Technology Robot 3-139

4. MILITARY ROBOT TECHNOLOGY 4-1
4.1 Military Robot Enabling Technology 4-1
4.2 Intel Integrated Circuit Evidence-Based Innovation 4-3
4.2.1 Open Robotic Control Software 4-5
4.2.2 Military Robot Key Technology 4-6
4.2.3 PC-Bots 4-10
4.2.4 Visual Simultaneous Localization & Mapping 4-10
4.3 Advanced Robot Technology: Navigation, Mobility, And Manipulation 4-11
4.3.1 Robot Intelligence Systems 4-11
4.3.2 Real-World, Dynamic Sensing 4-12
4.4 User-Friendly Interfaces 4-12
4.4.1 Tightly-Integrated, Electromechanical Robot Design 4-13
4.5 Field Based Robotics Iterative Development 4-14
4.5.1 Next-Generation Products Leverage Model 4-15
4.5.2 Modular Robot Structure And Control 4-15
4.5.3 Lattice Architectures 4-16
4.5.4 Chain / Tree Architectures 4-16
4.5.5 Deterministic Reconfiguration 4-16
4.5.6 Stochastic Reconfiguration 4-17
4.5.7 Modular Robotic Systems 4-17
4.6 Intel Military Robot Cultivating Collaborations 4-18
4.7 Hitachi Configuration Of Robots Using The SuperH Family 4-18
4.7.1 Hitachi Concept of MMU And Logic Space 4-19
4.7.2 Robotic Use of Thin Film Lithium-Ion Batteries 4-23
4.8 Network Of Robots And Sensors 4-24
4.8.1 Sensor Networks Part Of Research Agenda 4-25
4.8.2 Light Sensing 4-26
4.8.3 Acceleration Sensing 4-27
4.8.4 Chemical Sensing 4-27
4.9 Military Robot Technology Functions 4-27
4.10 Carbon Nanotube Radio 4-28
4.11 Military Robot Funded Programs 4-30
4.11.1 Future Combat System (FCS) Program Transitions to Army Brigade Combat Team Modernization 4-30
4.11.2 XM1216 Small Unmanned Ground Vehicle (SUGV) 4-32
4.11.3 UUV Sub-Pillars 4-33
4.11.4 Hovering Autonomous Underwater Vehicle (HAUV) 4-36
4.11.5 Alliant 4-36
4.11.6 ATSP is a Government-Wide Contracting Vehicle 4-38
4.11.7 Quick, efficient contracting vehicle 4-38
4.11.8 Facilitates Technology And Insertion Into Fielded Systems 4-38
4.11.9 Access to all Northrop Grumman sectors 4-39
4.12 iRobot Technology 4-39
4.12.1 iRobot AWARE Robot Intelligence Systems 4-39
4.12.2 iRobot Real-World, Dynamic Sensing. 4-40
4.12.3 iRobot User-Friendly Interface 4-40
4.12.4 iRobot Tightly-Integrated Electromechanical Design. 4-41
4.13 Evolution Robotics Technology Solutions 4-42
4.13.1 Evolution Robotics Example Applications 4-44
4.14 NASA Exploratory Robots 4-45
4.14.1 NASA Spirit Robot 4-46
4.14.2 NASA’s Mars Exploration Rover Spirit 4-48
4.14.3 Sample NASA Sprit Sol-By-Sol Summary: 4-50
4.14.3 Opportunity Update 4-51
4.14.4 NASA Opportunity Sol-By-Sol Summary 4-52
4.14.5 NASA Opportunity Robot 4-54
4.15 Remote Controlled Robot Missions 4-55
4.15.1 Auto-Navigation System Takes Pictures Of The Nearby Terrain 4-59
4.15.2 Mars Robotic Rovers Spirit And Opportunity 4-61
4.16 Self-Reproducing Machines 4-62
4.16.1 M-TRAN Modular Transformer 4-62
4.16.2 Attitude Control In Space By Control Moment Gyros 4-63

5. MILITARY ROBOT COMPANY PROFILES 5-1
5.1 American Reliance Inc. (AMREL) 5-1
5.1.1 Amrel Field Expedient Robot Controls Interoperability 5-2
5.1.2 Amrel Small-Footprint, Highly Integrated, Rugged Mobile Computing Solutions 5-2
5.2 BAE Systems 5-2
5.2.1 BAE Systems Ant Size Robot 5-3
5.2.2 BAE Personal Robots 5-5
5.2.3 BAE Systems Large UGV 5-5
5.3 Boston Dynamics 5-5
5.4 Doosan Infracore / Bobcat Company 5-6
5.5 General Dynamics 5-7
5.5.1 General Dynamics Combat Autonomous Mobility System (CAMS) 5-7
5.5.2 General Dynamics $60 Million Contract by U.S. Air Force for Mission Operations Support 5-8
5.5.3 General Dynamics Revenue 5-9
5.5.4 General Dynamics Business Group Revenue 5-10
5.5.5 General Dynamics Combat Systems Awards 5-13
5.5.6 General Dynamics Land Systems $24
Million Contract To Supply Commanders Remote
Operated Weapons 5-13
5.5.7 General Dynamics Canadian Government’s LAV III Upgrade Program 14
5.5.8 General Dynamics U.S. Military Vehicle Business 5-15
5.6 Gostai 5-16
5.7 iRobot 5-16
5.7.1 iRobot Home Robots 5-17
5.7.2 iRobot Government and Industrial Robots 5-17
5.7.3 iRobot Locations 5-17
5.7.4 iRobot Military Programs 5-17
5.7.5 iRobot Revenue 5-19
5.7.6 iRobot Geographic Information 5-25
5.7.7 iRobot Significant Customers 5-25
5.7.8 iRobot Description 5-25
5.7.9 iRobot Industry Segment, Geographic Information and Significant Customers 5-27
5.7.10 iRobot Home Robots 5-27
5.7.11 iRobot Government and Industrial 5-27
5.7.12 iRobot Geographic Information 5-32
5.7.13 iRobot Home Robot Division Revenue And Units Shipped 5-33
5.7.14 iRobot Government And Industrial Division 5-34
5.7.15 iRobot Strategy 5-36
5.7.16 iRobot Government and Industrial Products 5-38
5.7.17 iRobot Home Robots 5-42
5.7.18 iRobot Government & Industrial Robots 5-42
5.7.19 iRobot Partners and Strategic Alliance 5-43
5.7.20 iRobot / Boeing Company 5-43
5.7.21 iRobot / Advanced Scientific Concepts 5-43
5.7.22 iRobot / TASER International, 5-44
5.8 Kongsberg 5-44
5.8.1 Increased Scope of Kongsberg CROWS II Framework Agreement 5-45
5.8.2 Kongsberg Ownership 5-45
5.8.3 Kongsberg Manufacturing locations 5-46
5.8.4 Kongsberg Operations Revenue 5-47
5.8.5 Kongsberg Employees 5-47
5.9 Lockheed Martin 5-48
5.9.1 Lockheed Martin Defense Department Positioning 5-49
5.10 Northrop Grumman 5-53
5.10.1 Northrop Grumman Remotec Robots 5-54
5.11 Qinetiq / Foster-Miller 5-55
5.11.1 QinetiQ UK MOD and the US DoD provide target markets 5-56
5.11.2 QinetiQ Revenue 2005-2009 5-58
5.11.3 QinetiQ North America 5-61
5.11.4 QinetiQ Revenue 5-64
5.11.5 QinetiQ UK 5-66
5.11.6 QinetiQ North America 5-66
5.11.7 QinetiQ Autonomy and Robotics 5-67
5.11.8 QinetiQ Group Revenues 5-68
5.11.9 QinetiQ Business Review Governance 5-70
5.11.10 QinetiQ Revenue By Customer 5-71
5.11.11 QinetiQ North America 5-73
5.12 QinetiQ North America / Foster-Miller 5-75
5.12.1 QinetiQ North America / Foster-Miller 5-77
5.12.2 QinetiQ Common Robotic Controller (CRC) 5-77
5.12.3 QinetiQ North America World-Class Technology 5-78
5.12.4 QinetiQ North America Technology Solutions Group 5-79
5.13 Robotic Technology Inc. 5-79
5.13.1 RTI Energetically Autonomous Tactical Robot (EATR) Project 5-80
5.13.2 RTI Intelligent Vehicle Technology Transfer (IVTT) Program 5-81
5.13.3 Robotic Technology Precision Urban Hopper 5-84
5.13.4 Robotic Technology Robot 5-85
5.14 Telerob 5-85
5.14.1 Telerob – EOD / IEDD Equipment,
EOD Robots and Vehicles 5-86
5.14.2 TEODor Heavy Duty Explosive Ordnance Disposal (EOD) Robot 5-87
5.14.3 Telerob Telemax High-Mobility EOD Robot 5-88
5.14.4 Telerob EOD / IEDD service vehicles 5-88
5.14.5 Telerob’s Electrical Force-Reflecting-Manipulators (FRMs) 5-91
5.14.6 American Crane and Equipment Corp and Telerob Partnership 5-92
5.15 Versa / Allen-Vanguard 5-93
5.15.1 Allen Vanguard Trading Suspended on Stock 5-94
5.15.2 Allen Vanguard HAL® EOD/IEDD/ Search Tasks Hook and Line System 5-96
5.15.3 Versa / Allen Vanguard Equinox I 5-99
5.15.4 Versa / Allen Vanguard Field Test Set 5-100
5.15.5 Allen-Vanguard Revenue 5-100
5.16 VIA Technologies 5-103
5.16.1 VIA Technologies Complete Platform Provider 5-104
5.16.2 VIA Technologies Market Leadership 5-104
5.16.3 VIA Technologies Global Operations 5-105
5.16.4 VIA Technologies Meeting the Market Challenge 5-106
5.16.5 VIA Technologies Dynamic Fabless Business Model 5-107
5.17 Selected Manufacturers of Military Robots 5-107
5.18 Government Agencies and Other Organisations
Using Military Robots 5-111
5.18.1 RTI Intelligent Vehicle Technology Transfer (IVTT) Program 5-114

6. MILITARY ROBOT CONTRACTS 6-1
6.1.1 SPAWAR 6-2
6.1.2 Navy Explosive Ordnance Disposal 6-3
6.1.3 Future Combat Systems Program Cuts 6-3
6.1.4 U.S. Army Small Unmanned Ground Vehicle (SUGV) 6-4
6.2 GCV Created Due To Termination Of The Future
Combat Systems And Its Former Manned Ground Vehicles 6-4
6.2.1 Army To End Robotic Vehicle, Aircraft Efforts 6-6
6.2.2 MULE Termination 6-7
6.2.3 Armed Robotic Vehicle Assault (Light) Continuation 6-9
6.2.4 Robotic Systems Chartered by JPO 6-10
6.2.5 U.S. Army Small Unmanned Ground Vehicle 6-11
6.3 Selected US 2010 Military Budget for Robotics 6-13
6.3.1 Defense Advanced Research Projects Agency, DARPA Tactical Teams 6-13
6.3.2 Predator Drones 6-13
6.3.3 DARPA Budget for Robust Robotics,2010 6-14
6.3.4 Robust Robotics FY 2008 Accomplishments: 6-15
6.3.5 Robust Robotics FY Accomplishments 2009: 6-16
6.3.6 Robust Robotics FY 2010 Plans: Accomplishments 6-16
6.3.7 Cognitive Networking Use of Military Robotics 6-17
6.3.8 Local Area Network Droids (LANdroids) 6-19
6.3.9 Brood of Spectrum Supremacy (BOSS) Effort 6-20
6.3.10 Situation-Aware Protocols in Edge
Network Technologies (SAPIENT) 6-21
6.3.11 Local Area Network droids (LANdroids) 6-22
6.3.12 Brood of Spectrum Supremacy (BOSS) 6-23
6.3.13 Recognize Improvised Explosive Devices and Report (RIEDAR) 6-25
6.3.14 Crosshairs 6-26
6.3.15 Counter Improvised Explosives Laboratories (CIEL) 6-27
6.3.16 Vulcan 6-28
6.3.17 BioRobotics and BioMechanics 6-29
6.3.18 Front-end Robotics Enabling Near-term
Demonstration (FREND) 6-30
6.4 Military and First Responder Development Programs 6-32
6.4.1 Multi Dimensional Mobility Robot (MDMR) Spending 6-32
6.5 Customers For Government Robotic Products,
And Research And Development Contracts: 6-35
6.5.1 General Dynamics Land Systems $24 Million Contract To Supply Commanders Remote Operated Weapons 6-36
6.5.2 Kongsberg and General Dynamics co-producing CROWS and CROWS II 6-36
6.5.3 General Dynamics Awarded $24 Million to Provide Remote Weapon Systems That Protect Tank Commanders 6-37
6.5.4 Kongsberg 6-38
6.5.5 Vulcan Unmanned Maritime Vehicle (UMV)
And Unmanned Ground Vehicle (UGV) Programs 6-39
6.5.6 DARPA End-To-End Unmanned Vehicle System Solution 6-41
6.5.7 Unmanned Vehicles UMV and UGV Submarkets 6-42
6.5.8 Allen-Vanguard Spares For Symphony Electronic Counter Measures (ECM) Program 6-45
6.6 Military / Government and University Agencies 6-46
6.7 Military Robots Contracts 6-50
6.7.1 Talon 6-50
6.7.2 American Reliance Solution Found for Battlefield Robot Control Problem 6-50
6.7.3 QinetiQ NA Ships First-Responder Robots to Navy 6-51
6.7.4 iRobot Wins $3.75M Army Contract to
Develop Warrior Robot 6-52
6.7.5 iRobot Wins $286 Million U.S. Army Contract 6-53
6.7.6 Counter Radio-Controlled Improvised Explosive Device Electronic Warfare Spiral 3 systems (”CREW3″ 6-54
6.7.7 U.S. Army Has Agreed To Buy Up To 7,500
Electronic Bomb Jammer Systems From Its Partner
Lockheed Martin Allen-Vanguard 6-54
6.7.8 Jan. 31, 2008 Allen-Vanguard Confirms
U.S. Department of Defense Intent To Establish an IDIQ Contract For Up to
7,500 Symphony IED Countermeasure Systems 6-55
6.7.9 iRobot 6-56
6.7.10 iRobot Order for Six Seagliders™ from the
University of Western Australia 6-58
6.7.11 iRobot Corp. (Nasdaq: IRBT) Order Totaling
$16.8 million from the U.S. Army Program Eecutive
Office for Simulation, Training, and Instrumentation (PEO STRI) 6-59
6.7.12 General Dynamics Combat Autonomous Mobility System (CAMS) 6-60
6.7.13 Robotic Technology Robot 6-60

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First Responder, Homeland Security, And Law Enforcement Robots Market Shares, Strategies, And Forecasts, Worldwide, 2010 To 2016

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Home Page > Business > Industrial > First Responder, Homeland Security, And Law Enforcement Robots Market Shares, Strategies, And Forecasts, Worldwide, 2010 To 2016

First Responder, Homeland Security, And Law Enforcement Robots Market Shares, Strategies, And Forecasts, Worldwide, 2010 To 2016

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First Responder, Homeland Security, And Law Enforcement Robots Market Shares, Strategies, And Forecasts, Worldwide, 2010 To 2016

By: Minal

About the Author

Minal H
SEO
vinod.minal@gmail.com
http://www.aarkstore.com

(ArticlesBase SC #2050007)

Article Source: http://www.articlesbase.com/ – First Responder, Homeland Security, And Law Enforcement Robots Market Shares, Strategies, And Forecasts, Worldwide, 2010 To 2016

Worldwide markets are poised to achieve significant growth as the first responder and homeland security ground robots are used globally. Growth comes as the border patrols and law enforcement agencies use robots to achieve broader security in a less expensive manner, delivering the promise of automated process in yet another industry. First responder robots bring changes in every region while the globally integrated enterprise replaces nationalistic dominance, creating broader cooperative police actions that replace nationalistic wars. These police actions are aimed against the bad guys.

This cost is creating resistance among the agencies to spend such a large amount for what is seen as a device that gives little return in comparison to what a person can do all year. Costs of robots are expected to decrease rapidly in the next year, creating a much larger market than exists now. The current market at $203 million does provide a significant base for solid growth.

Vendors of homeland security and first responder robots have positioned to provide a common framework through which federal, state, local, and tribal governments can address emergencies. US federal first responder agencies are negotiating agreements with state and local government law enforcement groups to share equipment. First responder robots cost $50,000 and up, the cost of a person for one year.

Whereas a person can patrol and investigate, a first responder robot able to sniff for explosives is not justified in high quantity. .a few shared units go a long way in detecting explosives.

The challenge for vendors is to find applications where the robot is used 24×7 365 days per year. Then there is payback. An exception is an airport and a border patrol crossing point where there is continuous need to sniff for explosives.

First responder and homeland security robots are useful as patrol units. Just as foot police and patrol cars look for dangerous situations, so also a first responder robot can patrol an area with cameras and chemical sensors. First responder and homeland security robot automation of the defense process is the next wave of first responder and homeland security evolution. As automated systems and networking complement the Internet , communication is facilitated on a global basis. The first responder and homeland security charter is shifting to providing protection against terrorists and people seek to maintain a safe, mobile, independent lifestyle. Much of the first responder and homeland security mission is moving to adopt a police force training mission, seeking to achieve protection of civilian populations on a worldwide basis.

According to Susan Eustis, the lead author of the study, “the purchase of First responder and homeland security Robots s is dependent on budget constraints. The use of First responder and homeland security Robots s is based on providing a robot that is less expensive to put in the field than a trained soldier. That automation of process has appeal to those who run the first responder and homeland security.

Robots are automating first responder and homeland security ground systems, permitting vital protection of police officers and people in the field, creating the possibility of reduced fatalities in this profession. Mobile robotics operate independently of the operator.

The innovation coming from all the vendors is astounding. No one innovation is more significant than another. One vendor, BAE Systems has an ant size robot useful for reconnaissance and networking robots in development. As soldiers take up secure positions behind a wall, they deploy a small reconnaissance team. The initial deployment is poised to be a very, very small reconnaissance team. Some hopping, some flying, the stealthy autonomous reconnaissance squad vanishes into a suspicious building for several minutes, then relays the all-clear back to its partners outside when that is the case.

Use of remote-control toys in Iraq started as improvised robots to check out possible roadside bombs. There has since been a flurry of activity on the robotic explosive ordnance disposal (EOD) front since that early beginning. Deliveries of smaller and cheaper Bots are anticipated.

The emergence of a market for intelligent, mobile robots for use in the field and the confined areas of city fighting presents many opportunities. Units used in public spaces and on the border create a better, more flexible, more cost efficient first responder and homeland security.

Technology is used to actuate the disparate robot types. Core robotics research and advances in robotic technology can be applied across a variety of robotic form factors and robotic functionality. Advances feed on and off of each other. With each new round of innovation, a type of technological cross pollination occurs that improves existing robotic platforms and opens up other avenues where intelligent mobile robots can be employed, effectively creating new markets.

Roboticists are more advanced in their training and in the tools available to create units. First responder and homeland security robots have evolved from units used in the field to manage different situations that arise. Robots save lives..

Robotic security systems have an emphasis on causality reduction during law enforcement activities. This has resulted in investment in robotics technology that is useful. Robotic research is on the fast track for government spending. First responder and homeland security ground robot market forecast analysis indicates that vendor strategy is to pursue developing new applications that leverage leading edge technology. Robot solutions are achieved by leveraging the ability to innovate, to bring products to market quickly. First responder and homeland security purchasing authorities seek to reduce costs through design and outsourcing. Vendor capabilities depend on the ability to commercialize the results of research in order to fund further research. Government funded research is evolving some more ground robot capability.

Markets at $203.1 million in 2009 are anticipated to reach $3.7 billion by 2016.

Report Methodology

This is the 435th report in a series of primary market research reports that provide forecasts in communications, telecommunications, the Internet, computer, software, telephone equipment, health equipment, and energy. Automated process and significant growth potential are a priorities in topic selection. The project leaders take direct responsibility for writing and preparing each report. They have significant experience preparing industry studies. Forecasts are based on primary research and proprietary data bases.

The primary research is conducted by talking to customers, distributors and companies. The survey data is not enough to make accurate assessment of market size, so It looks at the value of shipments and the average price to achievem market assessments. Our track record in achieving accuracy is unsurpassed in the industry. We are known for being able to develop accurate market shares and projections. This is our specialty.

The analyst process is concentrated on getting good market numbers. This process involves looking at the markets from several different perspectives, including vendor shipments. The interview process is an essential aspect as well. We do have a lot of granular analysis of the different shipments by vendor in the study and addenda prepared after the study was published if that is appropriate.

Forecasts reflect analysis of the market trends in the segment and related segments. Unit and dollar shipments are analyzed through consideration of dollar volume of each market participant in the segment. Installed base analysis and unit analysis is based on interviews and an information search. Market share analysis includes conversations with key customers of products, industry segment leaders, marketing directors, distributors, leading market participants, opinion leaders, and companies seeking to develop measurable market share.

Table of Contents :

FIRST RESPONDER ROBOT EXECUTIVE SUMMARY ES-1
First Responder, Homeland Security, and Law Enforcement
Robots Market Driving Forces ES-1
Homeland Security And Police Ground Robots ES-2
Robots Operate Independently ES-2
Homeland Security Law Enforcement And First Responder
Ground Robots Market Shares ES-5
Homeland Security Law Enforcement And First Responder
Ground Robots Market Forecasts ES-6

1. FIRST RESPONDER ROBOTS MARKET DESCRIPTION AND
MARKET DYNAMICS 1-1
1.1 First Responders 1-1
1.1.1 First Responder Need for Robots 1-2
1.2 First Responder Robot Border Patrol 1-3
1.2.1 Border Patrol and Homeland Security 1-5
1.3 Delivering Robotic Capabilities to Combat Teams 1-6
1.4 Military Robot Scope 1-7
1.4.1 Military Robot Applications 1-8
1.5 Army’s G8 Futures office 1-11
1.5.1 Delivering Capabilities to the Army’s Brigade Combat Teams 1-13
1.5.2 Transition Between The Current Market
And Where The Market Is Going 1-14
1.5.3 Different Sizes of UGVs 1-15
1.6 Types of Military Robots 1-17
1.6.1 Telerob Explosive Observation Robot and
Ordnance Disposal 1-17
1.6.2 QinetiQ North America Talon® Robots
Universal Disrupter Mount 1-20
1.6.3 General Dynamics Next-Generation
CROWS II Increases Soldiers Safety 1-22
1.6.4 Soldier Unmanned Ground Vehicle from iRobot 1-23
1.7 UGV Enabling Technologies 1-24
1.7.1 Sensor Processing 1-25
1.7.2 Machine Autonomy 1-26
1.8 Military Robot Bandwidth 1-27
1.8.1 UGV Follow-Me Capability 1-27
1.8.2 Communications Bandwidth 1-28
1.8.3 Battery Power 1-28
1.8.4 Combination Of Batteries Linked To
Onboard Conventional Diesel 1-29
1.9 SUGVs 1-30
1.9.1 Mid-Size Category UGV 1-30
1.9.2 Large UGV 1-31
1.9.3 U.S. Army Ground Combat Vehicle 1-32
1.9.4 TARDEC 1-33
1.9.5 Tacom 1-34

2. FIRST RESPONDER ROBOT MARKET SHARES AND FORECASTS 2-1
2.1 First Responder, Homeland Security, and Law Enforcement
Robots Market Driving Forces 2-1
2.1.1 Homeland Security And Police Ground Robots 2-2
2.1.2 Robots Operate Independently 2-2
2.2 Homeland Security Law Enforcement And First Responder
Ground Robots Market Shares 2-6
2.3 Homeland Security Law Enforcement And First Responder
Ground Robots Market Forecasts 2-8
2.3.1 Small First Responder Robot Market Forecasts,
Dollars, Worldwide, 2010-2016 2-11
2.3.2 Mid Size First Responder Robot Market Forecasts,
Dollars, Worldwide, 2010-2016 2-13
2.3.3 Communications And Collaboration
Support Convergence To Enable First Response 2-14
2.4 Building a Culture of Preparedness 2-16
2.4.1 Military and First Responder Robot Market Forecasts 2-17
2.5 First Responder Robots Prevent And Disrupt Terrorist Attacks 2-22
2.5.1 Robots Emerge As Part Of Critical Security and
Emergency Response Infrastructure 2-23
2.5.2 First Responder Robot Platforms, Cameras, Grippers,
And Sensor Combinations 2-24
2.6 Worldwide First Responder Robot Market Forecasts, Segments 2-27
2.7 Police Actions Against Terrorists Replace Wars In
The New Global Economy 2-30
2.7.1 First Responder Large Vehicle Robots For
Challenging Missions 2-31
2.7.2 QinetiQ¡¯s / Foster-Miller Talon® First Responder Robot 2-32
2.7.3 Telerob Sensor Platform 2-32
2.7.4 Small, Maneuverable First Responder Robots 2-33
2.7.5 iRobot PackBot Scout 2-34
2.7.6 iRobot PackBot Explorer 2-34
2.7.7 QinetiQ North America¡¯s Dragon Runner Robot
Delivered to Mesa AZ SWAT Team 2-36
2.7.8 Application Scope 2-37
2.7.9 U.S. Military Robots Key to Iraq Surge Success 2-37
2.8 Military Robot Regional Market Analysis 2-39
2.8.1 iRobot Geographic Information 2-41

3. FIRST RESPONDER AND HOMELAND SECURITY ROBOTS PRODUCT DESCRIPTION 1
3.1 First Responder County Police Organization Robot Specialized Functions 1
3.1.1 Northrop Grumman Andros Remotec 1
3.1.2 QinetiQ Foster-Miller Thermal Camera Enhancement Kits (Teks) For Talon® Robots 3
3.1.3 Foster-Miller TEK-1 3
3.1.4 Foster-Miller TEK-2 4
3.1.5 QinetiQ Foster-Miller Scraper 5
3.1.6 QinetiQ Foster-Miller Blade 6
3.1.7 TALON® Robots: TALON SWAT/MP 7
3.1.8 Using TALON SWAT/MP on a County Deputy Call 8
3.1.9 QinetiQ Foster-Miller Ski 10
3.1.10 QinetiQ Foster-Miller TALON Partnership with Ahura Scientific
Field-Deployed Analytical Instruments 11
3.1.11 QinetiQ Foster-Miller TALON® Tailored to First Responders 13
3.2 iRobot 18
3.2.1 iRobot® PackBot® 510 with EOD Kit 19
3.2.2 iRobot® PackBot® 510 with First Responder Kit 20
3.2.3 iRobot® Warrior™ 700 21
3.2.4 iRobot® PackBot® 500 with RedOwl Sniper Detection Kit 22
3.2.5 iRobot® PackBot® 510 with FasTac Kit 25
3.2.6 iRobot® PackBot® 500 with ICx Fido® Explosives Detection Kit 25
3.2.7 iRobot® PackBot® 510 with HAZMAT Detection Kit 27
3.2.8 iRobot® SeaGlider 28
3.2.9 iRobot® Ranger 29
3.2.10 iRobot Aware 2.0 Robot Intelligence Software 30
3.3 Northrop Grumman 31
3.3.1 Andros HD-1 : Compact, Lightweight Platform 31
3.3.2 Northrop Grumman Vehicle Data / Communication Links 34
3.3.3 Northrop Grumman F6A – Versatile Platform 34
3.3.4 Northrop Grumman Vehicle Data / Communication Links 37
3.3.5 Northrop Grumman Mark V-A1 – Highly Versatile, Robust, All-Terrain Platform 37
3.3.6 Northrop Grumman V-A1 Features 39
3.3.7 Northrop Grumman Vehicle Data / Communication Links 40
3.3.8 Northrop Grumman Mini-ANDROS II – Compact, Capable, Two-Man-Portable Platform 40
3.3.9 Northrop Grumman Mini Andros II Features 42
3.3.10 Northrop Grumman Vehicle Data / Communication Links 43
3.3.11 Northrop Grumman Wolverine – Outdoor, All-Terrain Workhorse 43
3.3.12 Northrop Grumman Wolverine 45
3.3.13 Northrop Grumman Vehicle Data / Communication Links 46
3.4 General Dynamics 47
3.4.1 General Dynamics Next-Generation CROWS II Increases Soldiers Safety 48
3.5 Kongsberg 50
3.5.1 Kongsberg CrowsII Military Robot System 50
3.5.2 Kongsberg Addresses Underwater Diver Incursion 51
3.5.3 Kongsberg Norwegian Mine Reconnaissance Program 52
3.6 BAE Systems 53
3.6.1 BAE Systems Ant Size Robot 54
3.6.2 BAE Personal Robots 56
3.6.3 BAE Systems Large UGV 56
3.7 Lockheed Martin 56
3.7.1 Lockheed Martin Multifunction Utility/Logistics and Equipment Vehicle (MULE) 57
3.7.2 Lockheed Martin Large NUWC Manta UUV 59
3.7.3 Lockheed Martin Large NUWC Manta UUV For The Offshore Oil Industry 61
3.7.4 Lockheed Martin AN/WLD-1 Remote Minehunting System (RMS) 61

3.8 QinetiQ North America TALON® Robots 65
3.8.1 QinetiQ North America Talon® Robots Universal Disrupter Mount 67
3.8.2 Qinetiq / Foster-Miller 69
3.8.3 Foster-Miller TALON Family of Military Robots 70
3.8.4 Foster-Miller New: Two-Way Hailer 71
3.8.5 Foster-Miller TALON Responder 71
3.8.6 Foster-Miller EOD Robots 73
3.8.7 Foster-Miller SWORDS Robots 75
3.8.8 Foster-Miller CBRNE/Hazmat Robots 77
3.8.9 Foster-Miller TALON SWAT/MP 78
3.8.10 Foster-Miller MAARS Robot 79
3.8.11 Foster-Miller Dragon Runner Field Transformable SUGV 81
3.8.12 Foster Miller TALON GEN IV Engineer 82
3.8.13 Foster Miller TAGS-CX Unmanned Vehicle 83
3.8.14 QinetiQ TAGS-CX Unmanned Vehicle 84
3.8.15 Combat Engineer Route Clearance Robot 87
3.8.16 Talon MAARS™ Robots 92
3.9 Telerob 95
3.9.1 Telerob – EOD / IEDD Equipment, EOD Robots and Vehicles 95
3.9.2 Telerob TEODor Heavy Duty Explosive
Ordnance Disposal (EOD) Robot 97
3.9.3 Telerob Telemax High-Mobility EOD Robot 3-98
3.9.4 Telerob EOD / IEDD Service Vehicles 3-98
3.10 Versa / Allen Vanguard 3-103
3.10.1 Allen Vanguard VANGUARD® ROV 3-105
3.10.2 Allen Vanguard Defender Robot/ROV 3-113
3.10.3 Allen Vanguard ROV-Track CBRNE 3-118
3.11 Boston Dynamics 3-121
3.11.1 Boston Dynamic LittleDog – The Legged
Locomotion Learning Robot 3-122
3.11.2 Boston Dynamic PETMAN – BigDog gets a Big Brother 3-124
3.11.3 Boston Dynamic RHex Devours Rough Terrain 3-126
3.11.4 Boston Dynamic RiSE: Climbing Robot 3-128
3.12 Robotic Technology 3-130
3.12.1 RTI Military Memetics (Information Propagation,
Impact, and Persistence ¨C Info PIP) Project 3-131
3.12.2 RTI Humanoid And Legged Robots 3-132
3.13 Fujitsu Service Robot (enon) 3-133
3.14 Gostai SOS 3-134
3.15 Kairos Autonomi 3-136
3.16 Scripps Bluefin Robotics Spray glider UUV 3-137
3.16.1 Scripps Bluefin Robotics Spray Glider Sensors,
Navigation, and Communications 3-138
3.17 Boeing¡¯s AN/BLQ-11 Long-term Mine
Reconnaissance System (LMRS), 3-144
3.18 Boeing Advanced Information Systems 3-148
3.19 Sonatech 3-150
3.20 BAE Systems Underwater Systems 3-150
3.21 Gunsmith Jerry Baber 3-151
3.22 IVTT Program Intelligent Vehicle Robot Hops Over Walls 3-152
3.22.1 Robotic Technology Precision Urban Hopper 3-154
3.22.2 Robotic Technology Robot 3-154
3.23 First Responder Robots 3-155
3.23.1 QinetiQ North America¡¯s robotic controller kit 3-156

4. FIRST RESPONDER ROBOT TECHNOLOGY 4-1
4.1 First Responder Robot Enabling Technology 4-1
4.2 Intel Integrated Circuit Evidence-Based Innovation 4-3
4.2.1 Open Robotic Control Software 4-5
4.2.2 Military Robot Key Technology 4-6
4.2.3 PC-Bots 4-10
Visual Simultaneous Localization & Mapping 4-10
4.3 Advanced Robot Technology: Navigation,
Mobility, And Manipulation 4-11
4.3.1 Robot Intelligence Systems 4-11
4.3.2 Real-World, Dynamic Sensing 4-12
4.4 User-Friendly Interfaces 4-12
4.4.1 Tightly-Integrated, Electromechanical Robot Design 4-13
4.5 Field Based Robotics Iterative Development 4-14
4.5.1 Next-Generation Products Leverage Model 4-15
4.5.2 Modular Robot Structure And Control 4-15
4.5.3 Lattice Architectures 4-16
4.5.4 Chain / Tree Architectures 4-16
4.5.5 Deterministic Reconfiguration 4-16
4.5.6 Stochastic Reconfiguration 4-17
4.5.7 Modular Robotic Systems 4-17
4.6 Intel Military Robot Cultivating Collaborations 4-18
4.7 Hitachi Configuration Of Robots Using The SuperH Family 4-18
Hitachi Concept of MMU And Logic Space 4-19
Robotic Use of Thin Film Lithium-Ion Batteries 4-23
4.8 Network Of Robots And Sensors 4-24
4.8.1 Sensor Networks Part Of Research Agenda 4-25
4.8.2 Light Sensing 4-26
4.8.3 Acceleration Sensing 4-27
4.8.4 Chemical Sensing 4-27
4.9 Military Robot Technology Functions 4-27
4.10 Carbon Nanotube Radio 4-28
4.11 Military Robot Funded Programs 4-30
4.11.1 Future Combat System (FCS) Program Transitions
to Army Brigade Combat Team Modernization 4-30
4.11.2 XM1216 Small Unmanned Ground Vehicle (SUGV) 4-32
4.11.3 UUV Sub-Pillars 4-33
4.11.4 Hovering Autonomous Underwater Vehicle (HAUV) 4-36
4.11.5 Alliant 4-36
4.11.6 ATSP is a Government-wide contracting vehicle 4-38
4.11.7 Quick, efficient contracting vehicle 4-38
4.11.8 Facilitates technology and insertion into fielded systems 4-38
4.11.9 Access to all Northrop Grumman sectors 4-39
4.12 iRobot Technology 4-39
4.12.1 iRobot AWARE Robot Intelligence Systems 4-39
4.12.2 iRobot Real-World, Dynamic Sensing. 4-40
4.12.3 iRobot User-Friendly Interface 4-40
4.12.4 iRobot Tightly-Integrated Electromechanical Design. 4-41
4.13 Evolution Robotics Technology Solutions 4-42
Evolution Robotics Example Applications 4-44
4.14 NASA Exploratory Robots 4-45
4.14.1 NASA Spirit Robot 4-46
4.14.2 NASA’s Mars Exploration Rover Spirit 4-48
Sample NASA Sprit Sol-By-Sol Summary: 4-50
4.14.3 Opportunity Update 4-51
4.14.4 NASA Opportunity Sol-By-Sol Summary 4-52
4.14.5 NASA Opportunity Robot 4-54
4.15 Remote Controlled Robot Missions 4-55
4.15.1 Auto-Navigation System Takes Pictures Of
The Nearby Terrain 4-59
4.15.2 Mars Robotic Rovers Spirit And Opportunity 4-61
4.16 Self-Reproducing Machines 4-62
4.16.1 M-TRAN Modular Transformer 4-62
4.16.2 Attitude Control In Space By Control Moment Gyros 4-63

5. FIRST RESPONDER ROBOT COMPANY PROFILES 5-1
5.1 American Reliance Inc. (AMREL) 5-1
5.1.1 Amrel Field Expedient Robot Controls
Interoperability 5-2
5.1.2 Amrel Small-Footprint, Highly Integrated,
Rugged Mobile Computing Solutions 5-2
5.2 BAE Systems 5-2
5.2.1 BAE Systems Ant Size Robot 5-3
5.2.2 BAE Personal Robots 5-5
5.2.3 BAE Systems Large UGV 5-5
5.3 Boston Dynamics 5-5
5.4 Doosan Infracore / Bobcat Company 5-6
5.5 General Dynamics 5-7
5.5.1 General Dynamics Combat Autonomous
Mobility System (CAMS) 5-7
5.5.2 General Dynamics $60 Million Contract by U.S.
Air Force for Mission Operations Support 5-8
5.5.3 General Dynamics Revenue 5-9
5.5.4 General Dynamics Business Group Revenue 5-10
5.5.5 General Dynamics Combat Systems Awards 5-13
5.5.6 General Dynamics Land Systems $24 million
contract to supply Commanders Remote Operated Weapons 5-13
5.5.7 General Dynamics Canadian Government¡¯s
LAV III Upgrade Program 5-14
5.5.8 General Dynamics U.S. Military Vehicle Business 5-15
5.6 Gostai 5-16
5.7 iRobot 5-16
5.7.1 iRobot Home Robots 5-17
5.7.2 iRobot Government and Industrial Robots 5-17
5.7.3 iRobot Locations 5-17
5.7.4 iRobot Military Programs 5-17
5.7.5 iRobot Revenue 5-19
5.7.6 iRobot Geographic Information 5-25
5.7.7 iRobot Significant Customers 5-25
5.7.8 iRobot Description 5-25
5.7.9 iRobot Industry Segment, Geographic Information and Significant Customers 5-27
5.7.10 iRobot Home Robots 5-27
5.7.11 iRobot Government and Industrial 5-27
5.7.12 iRobot Geographic Information 5-32
5.7.13 iRobot Home Robot Division Revenue And Units Shipped 5-33
5.7.14 iRobot Government And Industrial Division 5-34
5.7.15 iRobot Strategy 5-36
5.7.16 iRobot Government and Industrial Products 5-38
5.7.17 iRobot Home Robots 5-42
5.7.18 iRobot Government & Industrial Robots 5-42
5.7.19 iRobot Partners and Strategic Alliance 5-43
5.7.20 iRobot / Boeing Company 5-43
5.7.21 iRobot / Advanced Scientific Concepts 5-43
5.7.22 iRobot / TASER International, 5-44
5.8 Kongsberg 5-44
5.8.1 Increased Scope of Kongsberg CROWS II
Framework Agreement 5-45
5.8.2 Kongsberg Ownership 5-45
5.8.3 Kongsberg Manufacturing locations 5-46
5.8.4 Kongsberg Operations Revenue 5-47
5.8.5 Kongsberg Employees 5-47
5.9 Lockheed Martin 5-48
5.9.1 Lockheed Martin Defense Department Positioning 5-49
5.10 Northrop Grumman 5-53
5.10.1 Northrop Grumman Remotec Robots 5-54
5.11 Qinetiq / Foster-Miller 5-55
5.11.1 QinetiQ UK MOD and the US DoD provide target markets 5-56
5.11.2 QinetiQ Revenue 2005-2009 5-58
5.11.3 QinetiQ North America 5-61
5.11.4 QinetiQ Revenue 5-64
5.11.5 QinetiQ UK 5-66
5.11.6 QinetiQ North America 5-66
5.11.7 QinetiQ Autonomy and Robotics 5-67
5.11.8 QinetiQ Group Revenues 5-68
5.11.9 QinetiQ Business Review Governance 5-70
5.11.10 QinetiQ Revenue By Customer 5-71
5.11.11 QinetiQ North America 5-73
5.12 QinetiQ North America / Foster-Miller 5-75
5.12.1 QinetiQ North America / Foster-Miller 5-77
5.12.2 QinetiQ Common Robotic Controller (CRC) 5-77
5.12.3 QinetiQ North America World-Class Technology 5-78
5.12.4 QinetiQ North America Technology Solutions Group 5-79
5.13 Robotic Technology Inc. 5-79
5.13.1 RTI Energetically Autonomous Tactical
Robot (EATR) Project 5-80
5.13.2 RTI Intelligent Vehicle Technology
Transfer (IVTT) Program 5-81
5.13.3 Robotic Technology Precision Urban Hopper 5-84
5.13.4 Robotic Technology Robot 5-85
5.14 Telerob 5-85
5.14.1 Telerob – EOD / IEDD Equipment, EOD
Robots and Vehicles 5-86
5.14.2 TEODor Heavy Duty Explosive Ordnance
Disposal (EOD) Robot 5-87
5.14.3 Telerob Telemax High-Mobility EOD Robot 5-88
5.14.4 Telerob EOD / IEDD service vehicles 5-88
5.14.5 Telerob¡¯s Electrical Force-Reflecting-Manipulators (FRMs) 5-91
5.14.6 American Crane and Equipment Corp and
Telerob Partnership 5-92
5.15 Thermo Fisher Scientific / Ahura Scientific 5-93
5.15.1 Ahura Scientific 5-94
5.16 Versa / Allen-Vanguard 5-95
5.16.1 Allen Vanguard Trading Suspended on Stock 5-96
5.16.2 Allen Vanguard HAL® EOD/IEDD/Search
Tasks Hook and Line System 5-97
5.16.3 Versa / Allen Vanguard Equinox I 5-100
5.16.4 Versa / Allen Vanguard Field Test Set 5-101
5.16.5 Allen-Vanguard Revenue 5-102
5.17 VIA Technologies 5-104
5.17.1 VIA Technologies Complete Platform Provider 5-105
5.17.2 VIA Technologies Market Leadership 5-105
5.17.3 VIA Technologies Global Operations 5-106
5.17.4 VIA Technologies Meeting the Market Challenge 5-107
5.17.5 VIA Technologies Dynamic Fabless Business Model 5-108
5.18 Selected Manufacturers of Military Robots 5-108
5.19 Government Agencies and Other
Organizations Using Military Robots 5-112
5.19.1 RTI Intelligent Vehicle Technology
Transfer (IVTT) Program 5-115

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Home Page > Business > Industrial > Military Robots And Unmanned Vehicles Market Shares, Strategies, And Forecasts, Worldwide, 2010 To 2016-Aarkstore Enterprise

Military Robots And Unmanned Vehicles Market Shares, Strategies, And Forecasts, Worldwide, 2010 To 2016-Aarkstore Enterprise

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Military Robots And Unmanned Vehicles Market Shares, Strategies, And Forecasts, Worldwide, 2010 To 2016-Aarkstore Enterprise

By: Minal

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Minal H
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Article Source: http://www.articlesbase.com/ – Military Robots And Unmanned Vehicles Market Shares, Strategies, And Forecasts, Worldwide, 2010 To 2016-Aarkstore Enterprise

LEXINGTON, Massachusetts (January 22, 2010) Announces that it has a new study on Military Ground Robots and unmanned vehicles. The 2010 study has 513 pages, 190 tables and figures. Worldwide markets are poised to achieve significant growth as the military ground robots and unmanned vehicles are used globally. Growth comes as the nature of combat changes in every region while the globally integrated enterprise replaces nationalistic dominance.

Military robot automation of the defense process is the next wave of military evolution. As automated systems and networking complement the Internet , communication is facilitated on a global basis. The military charter is shifting to providing protection against terrorists and people seek to maintain a safe, mobile, independent lifestyle. Much of the military mission is moving to adopt a police force training mission, seeking to achieve protection of civilian populations on a worldwide basis.

According to Susan Eustis, the lead author of the study, ¡°the purchase of Military Robots s is dependent on budget constraints. The use of Military Robots s is based on providing a robot that is less expensive to put in the field than a trained soldier. That automation of process has appeal to those who run the military.

Robots are automating military ground systems, permitting vital protection of soldiers and people in the field, creating the possibility of reduced fatalities. Mobile robotics operate independently of the operator.

The innovation coming from all the vendors is astounding. No one innovation is more significant than another. One vendor, BAE Systems has an ant size robot useful for reconnaissance and networking robots in development. As soldiers take up secure positions behind a wall, they deploy a small reconnaissance team. The initial deployment is poised to be a very, very small reconnaissance team. Some hopping, some flying, the stealthy autonomous reconnaissance squad vanishes into a suspicious building for several minutes, then relays the all-clear back to its partners outside when that is the case.

What is good for a robotic unmanned ground vehicle is also good for an ummanned vehicle. Multiple technological, logistical, political and market forces share a quantum singularity that has brought mobile robotics to the point where robots are useful to every arm of the military services. This is a phenomenon that will have a major impact on the way we run the military and police societies.

Use of remote-control toys in Iraq started as improvised robots to check out possible roadside bombs. There has since been a flurry of activity on the robotic explosive ordnance disposal (EOD) front since that early beginning. Deliveries of smaller and cheaper Bots are anticipated.

The emergence of a market for intelligent, mobile robots for use in the field and the confined areas of city fighting presents many opportunities. Units used in public spaces and on the battlefield create a better, more flexible, more cost efficient military.

Technology is used to actuate the disparate robot types. Core robotics research and advances in robotic technology can be applied across a variety of robotic form factors and robotic functionality. Advances feed on and off of each other. With each new round of innovation, a type of technological cross pollination occurs that improves existing robotic platforms and opens up other avenues where intelligent mobile robots can be employed, effectively creating new markets.

Roboticists are more advanced in their training and in the tools available to create units. Military robots have evolved from units used in the field to manage different situations that arise. Robots save lives..

Defense security systems have an emphasis on causality reduction during combat. This has resulted in investment in robotics technology that is useful. Robotic research is on the fast track for government spending. Congress passed a law making it an Army goal that by 2015, one©\third of the operational ground combat vehicles are unmanned. The US Navy and Marines have similar initiatives underway.

Military ground robot market forecast analysis indicates that vendor strategy is to pursue developing new applications that leverage leading edge technology. Robot solutions are achieved by leveraging the ability to innovate, to bring products to market quickly. Military purchasing authorities seek to reduce costs through design and outsourcing. Vendor capabilities depend on the ability to commercialize the results of research in order to fund further research. Government funded research is evolving some more ground robot capability.

Markets at $831 million in 2009 are anticipated to reach $9.7 billion by 2016.

Report Methodology

This is the 428th report in a series of primary market research reports that provide forecasts in communications, telecommunications, the Internet, computer, software, telephone equipment, health equipment, and energy. Automated process and significant growth potential are a priorities in topic selection. The project leaders take direct responsibility for writing and preparing each report. They have significant experience preparing industry studies. Forecasts are based on primary research and proprietary data bases.

The primary research is conducted by talking to customers, distributors and companies. The survey data is not enough to make accurate assessment of market size, so it looks at the value of shipments and the average price to achieve market assessments. Our track record in achieving accuracy is unsurpassed in the industry. We are known for being able to develop accurate market shares and projections. This is our specialty.

The analyst process is concentrated on getting good market numbers. This process involves looking at the markets from several different perspectives, including vendor shipments. The interview process is an essential aspect as well. We do have a lot of granular analysis of the different shipments by vendor in the study and addenda prepared after the study was published if that is appropriate.

Forecasts reflect analysis of the market trends in the segment and related segments. Unit and dollar shipments are analyzed through consideration of dollar volume of each market participant in the segment. Installed base analysis and unit analysis is based on interviews and an information search. Market share analysis includes conversations with key customers of products, industry segment leaders, marketing directors, distributors, leading market participants, opinion leaders, and companies seeking to develop measurable market share.

Over 200 in depth interviews are conducted for each report with a broad range of key participants and industry leaders in the market segment. We establish accurate market forecasts based on economic and market conditions as a base. Use input/output ratios, flow charts, and other economic methods to quantify data. Use in-house analysts who meet stringent quality standards. Interviewing key industry participants, experts and end-users is a central part of the study. Our research includes access to large proprietary databases. Literature search includes analysis of trade publications, government reports, and corporate literature.

Findings and conclusions of this report are based on information gathered from industry sources, including manufacturers, distributors, partners, opinion leaders, and users. Interview data was combined with information gathered through an extensive review of internet and printed sources such as trade publications, trade associations, company literature, and online databases. The projections contained in this report are checked from top down and bottom up analysis to be sure there is congruence from that perspective.

The base year for analysis and projection is 2009. With 2009 and several years prior to that as a baseline, market projections were developed for 2010 through 2016. These projections are based on a combination of a consensus among the opinion leader contacts interviewed combined with understanding of the key market drivers and their impact from a historical and analytical perspective. The analytical methodologies used to generate the market estimates are based on penetration analyses, similar market analyses, and delta calculations to supplement independent and dependent variable analysis. All analyses are displaying selected descriptions of products and services.

This research includes referencde to an ROI model that is part of a series that provides IT systems financial planners access to information that supports analysis of all the numbers that impact management of a product launch or large and complex data center. The methodology used in the models relates to having a sophisticated analytical technique for understanding the impact of workload on processor consumption and cost.

It has looked at the metrics and independent research to develop assumptions that reflect the actual anticipated usage and cost of systems. Comparative analyses reflect the input of these values into models.

The variables and assumptions provided in the market research study and the ROI models are based on extensive experience in providing research to large enterprise organizations and data centers. The ROI models have lists of servers from different manufacturers, Systems z models from IBM, and labor costs by category around the world. This information has been developed from research proprietary data bases constructed as a result of preparing market research studies that address the software, energy, healthcare, telecommunicatons, and hardware businesses.

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Table of Contents :

MILITARY GROUND ROBOT EXECUTIVE SUMMARY ES-1
Military Ground Robot Market Driving Forces ES-1
Future Combat System (FCS) Program Transitions to
Army Brigade Combat Team Modernization ES-2
Robots Operate Independently ES-2
Military Robots Market Driving Forces 5
Military Ground Robot Market Shares ES-6
BAE Systems Ant Size Robot ES-7
Military Ground Robot Market Forecasts ES-8

1. MILITARY ROBOTS MARKET DESCRIPTION AND MARKET DYNAMICS 1-1
1.1 Delivering Robotic Capabilities to Combat Teams 1-1
1.2 Military Robot Scope 1-2
1.2.1 Military Robot Applications 1-3
1.3 Army’s G8 Futures office 1-6
1.3.1 Delivering Capabilities to the Army’s Brigade Combat Teams 1-8
1.3.2 Transition Between The Current Market And
Where The Market Is Going 1-9
1.3.3 Different Sizes of UGVs 1-10
1.4 Types of Military Robots 1-12
1.4.1 Telerob Explosive Observation Robot and Ordnance Disposal 1-12
1.4.2 QinetiQ North America Talon® Robots
Universal Disrupter Mount 1-15
1.4.3 General Dynamics Next-Generation
CROWS II Increases Soldiers Safety 1-17
1.4.4 Soldier Unmanned Ground Vehicle from iRobot 1-18
1.5 UGV Enabling Technologies 1-19
1.5.1 Sensor Processing 1-20
1.5.2 Machine Autonomy 1-21
1.6 Military Robot Bandwidth 1-22
1.6.1 UGV Follow-Me Capability 1-22
1.6.2 Communications Bandwidth 1-23
1.6.3 Battery Power 1-23
1.6.4 Combination Of Batteries Linked To
Onboard Conventional Diesel 1-24
1.7 SUGVs 1-25
1.7.1 Mid-Size Category UGV 1-25
1.7.2 Large UGV 1-26
1.7.3 U.S. Army Ground Combat Vehicle 1-27
1.7.4 TARDEC 1-28
1.7.5 Tacom 1-29

2. MILITARY GROUND ROBOT MARKET SHARES AND FORECASTS 2-1
2.1 Military Ground Robot Market Driving Forces 2-1
2.1.1 Future Combat System (FCS) Program Transitions to
Army Brigade Combat Team Modernization 2-2
2.1.2 Robots Operate Independently 2-2
2.1.3 Military Robots Market Driving Forces 2-5
2.2 Military Ground Robot Market Shares 2-6
2.2.1 General Dynamics Robotic Systems 2-9
2.2.2 Northrop Grumman Remotec Andros 2-10
2.2.3 Northrop Grumman / Remotec 2-10
2.2.4 Northrop Grumman Remotec UK Wheelbarrow Robots 2-12
2.2.5 iRobot Government & Industrial Robots 2-12
2.2.6 QinetiQ / Foster-Miller 2-15
2.2.7 Qinetiq / Foster-Miller TALON EOD robots 2-16
2.2.8 NAVEODTECHDIV Funds QinetiQ
Foster-Miller Talon Robots 2-17
2.2.9 Foster-Miller TALON Responder and EOD 2-17
2.2.10 Kongsberg CrowsII Military Robot System 2-18
2.2.11 BAE Systems Ant Size Robot 2-19
2.2.12 Telerob Rapid Response Vehicle 2-20
2.2.13 Boston Dynamics 2-21
2.2.14 Robotic Technology Robot 2-21
2.3 Military and First Responder Robot Market Shares 2-23
2.4 Military Ground Robot Market Forecasts 2-27
2.4.1 Mid Range Military Robot Market Forecasts 2-29
2.4.2 High End Military Robots 2-33
2.4.3 Mid Range Unmanned Vehicle UVV Market Forecasts 2-35
2.4.4 High End Unmanned Vehicle UVV Market Forecasts 2-38
2.4.5 SUGVs 2-40
2.4.6 Small Military Robots Used In Networks 2-42
2.4.7 Remotely Controlled Armed Robots Deployed In Iraq 2-45
2.4.8 Robots For Defense And Homeland Security 2-46
2.4.9 U.S. Army Small Unmanned Ground Vehicle (SUGV) 2-47
2.4.10 Defense Advanced Research Projects
Agency, or DARPA Tactical Teams 2-47
2.4.11 Application Scope 2-48
2.4.12 U.S. Military Robots Key to Iraq Surge Success 2-48
2.5 Military Robot Regional Market Analysis 2-50
2.5.1 iRobot Geographic Information 2-52

3. MILITARY ROBOTS PRODUCT DESCRIPTION 3-1
3.1 iRobot 3-1
3.1.1 iRobot® PackBot® 510 with EOD Kit 3-2
3.1.2 iRobot® PackBot® 510 with First Responder Kit 3-3
3.1.3 iRobot® Warrior™ 700 3-4
3.1.4 iRobot® PackBot® 500 with RedOwl Sniper
Detection Kit 3-5
3.1.5 iRobot® PackBot® 510 with FasTac Kit 3-8
3.1.6 iRobot® PackBot® 500 with ICx Fido®
Explosives Detection Kit 3-8
3.1.7 iRobot® PackBot® 510 with HAZMAT Detection Kit 3-10
3.1.8 iRobot® SeaGlider 3-11
iRobot® SeaGlider 3-11
3.1.9 iRobot® Ranger 3-12
iRobot® Ranger 3-12
3.1.10 iRobot Aware 2.0 Robot Intelligence Software 3-13
3.2 Northrop Grumman 3-14
3.2.1 Andros HD-1 : Compact, Lightweight Platform 3-14
3.2.2 Northrop Grumman Vehicle Data / Communication Links 3-17
3.2.3 Northrop Grumman F6A – Versatile Platform 3-17
3.2.4 Northrop Grumman Vehicle Data / Communication Links 3-20
3.2.5 Northrop Grumman Mark V-A1 – Highly
Versatile, Robust, All-Terrain Platform 3-20
3.2.6 Northrop Grumman V-A1 Features 3-22
3.2.7 Northrop Grumman Vehicle Data / Communication Links 3-23
3.2.8 Northrop Grumman Mini-ANDROS II – Compact,
Capable, Two-Man-Portable Platform 3-23
3.2.9 Northrop Grumman Mini Andros II Features 3-25
3.2.10 Northrop Grumman Vehicle Data / Communication Links 3-26
3.2.11 Northrop Grumman Wolverine – Outdoor,
All-Terrain Workhorse 3-26
3.2.12 Northrop Grumman Wolverine 3-28
3.2.13 Northrop Grumman Vehicle Data / Communication Links 3-29
3.3 General Dynamics 3-30
3.3.1 General Dynamics Next-Generation CROWS II
Increases Soldiers Safety 3-31
3.4 Kongsberg 3-33
3.4.1 Kongsberg CrowsII Military Robot System 3-33
3.4.2 Kongsberg Addresses Underwater Diver Incursion 3-34
3.4.3 Kongsberg Norwegian Mine Reconnaissance Program 3-34
3.5 BAE Systems 3-36
3.5.1 BAE Systems Ant Size Robot 3-36
3.5.2 BAE Personal Robots 3-38
3.5.3 BAE Systems Large UGV 3-39
3.6 Lockheed Martin 3-39
3.6.1 Lockheed Martin Multifunction Utility/
Logistics and Equipment Vehicle (MULE) 3-40
3.6.2 Lockheed Martin Large NUWC Manta UUV 3-42
3.6.3 Lockheed Martin Large NUWC Manta UUV
For The Offshore Oil Industry 3-44
3.6.4 Lockheed Martin AN/WLD-1 Remote
Minehunting System (RMS) 3-44
3.7 QinetiQ North America TALON® Robots 3-48
3.7.1 QinetiQ North America Talon® Robots
Universal Disrupter Mount 3-50
3.7.2 Qinetiq / Foster-Miller 3-52
3.7.3 Foster-Miller TALON Family of Military Robots 3-53
3.7.4 Foster-Miller New: Two-Way Hailer 3-54
3.7.5 Foster-Miller TALON Responder 3-54
3.7.6 Foster-Miller EOD Robots 3-56
3.7.7 Foster-Miller SWORDS Robots 3-58
3.7.8 Foster-Miller CBRNE/Hazmat Robots 3-60
3.7.9 Foster-Miller TALON SWAT/MP 3-61
3.7.10 Foster-Miller MAARS Robot 3-62
3.7.11 Foster-Miller Dragon Runner Field Transformable SUGV 3-64
3.7.12 Foster Miller TALON GEN IV Engineer 3-65
3.7.13 Foster Miller TAGS-CX Unmanned Vehicle 3-66
3.7.14 QinetiQ TAGS-CX Unmanned Vehicle 3-67
3.7.15 Combat Engineer Route Clearance Robot 3-70
3.7.16 Talon MAARS™ Robots 3-75
3.8 Telerob 3-78
3.8.1 Telerob – EOD / IEDD Equipment, EOD
Robots and Vehicles 3-78
3.8.2 Telerob TEODor Heavy Duty Explosive
Ordnance Disposal (EOD) Robot 3-80
3.8.3 Telerob Telemax High-Mobility EOD Robot 3-81
3.8.4 Telerob EOD / IEDD Service Vehicles 3-81
3.9 Versa / Allen Vanguard 3-86
3.9.1 Allen Vanguard VANGUARD® ROV 3-88
3.9.2 Allen Vanguard Defender Robot/ROV 3-97
3.9.3 Allen Vanguard ROV-Track CBRNE 3-102
3.10 Boston Dynamics 3-106
3.10.1 Boston Dynamic LittleDog – The Legged Locomotion
Learning Robot 3-107
3.10.2 Boston Dynamic PETMAN – BigDog gets a Big Brother 3-109
3.10.3 Boston Dynamic RHex Devours Rough Terrain 3-110
3.10.4 Boston Dynamic RiSE: Climbing Robot 3-112
3.11 Robotic Technology 3-115
3.11.1 RTI Military Memetics (Information Propagation,
Impact, and Persistence ¨C Info PIP) Project 3-116
3.11.2 RTI Humanoid And Legged Robots 3-116
3.12 Fujitsu Service Robot (enon) 3-118
3.13 Gostai SOS 3-119
3.14 Kairos Autonomi 3-121
3.15 Scripps Bluefin Robotics Spray glider UUV 3-122
3.15.1 Scripps Bluefin Robotics Spray Glider
Sensors, Navigation, and Communications 3-123
3.16 Boeing¡¯s AN/BLQ-11 Long-term Mine
Reconnaissance System (LMRS), 3-129
3.17 Boeing Advanced Information Systems 3-133
3.18 Sonatech 3-135
3.19 BAE Systems Underwater Systems 3-135
3.20 Gunsmith Jerry Baber 3-136
3.21 IVTT Program Intelligent Vehicle
Robot Hops Over Walls 3-137
3.21.1 Robotic Technology Precision Urban Hopper 3-139
3.21.2 Robotic Technology Robot 3-139

4. MILITARY ROBOT TECHNOLOGY 4-1
4.1 Military Robot Enabling Technology 4-1
4.2 Intel Integrated Circuit Evidence-Based Innovation 4-3
4.2.1 Open Robotic Control Software 4-5
4.2.2 Military Robot Key Technology 4-6
4.2.3 PC-Bots 4-10
Visual Simultaneous Localization & Mapping 4-10
4.3 Advanced Robot Technology: Navigation, Mobility,
And Manipulation 4-11
4.3.1 Robot Intelligence Systems 4-11
4.3.2 Real-World, Dynamic Sensing 4-12
4.4 User-Friendly Interfaces 4-12
4.4.1 Tightly-Integrated, Electromechanical Robot Design 4-13
4.5 Field Based Robotics Iterative Development 4-14
4.5.1 Next-Generation Products Leverage Model 4-15
4.5.2 Modular Robot Structure And Control 4-15
4.5.3 Lattice Architectures 4-16
4.5.4 Chain / Tree Architectures 4-16
4.5.5 Deterministic Reconfiguration 4-16
4.5.6 Stochastic Reconfiguration 4-17
4.5.7 Modular Robotic Systems 4-17
4.6 Intel Military Robot Cultivating Collaborations 4-18
4.7 Hitachi Configuration Of Robots Using The SuperH Family 4-18
Hitachi Concept of MMU And Logic Space 4-19
Robotic Use of Thin Film Lithium-Ion Batteries 4-23
4.8 Network Of Robots And Sensors 4-24
4.8.1 Sensor Networks Part Of Research Agenda 4-25
4.8.2 Light Sensing 4-26
4.8.3 Acceleration Sensing 4-27
4.8.4 Chemical Sensing 4-27
4.9 Military Robot Technology Functions 4-27
4.10 Carbon Nanotube Radio 4-28
4.11 Military Robot Funded Programs 4-30
4.11.1 Future Combat System (FCS) Program
Transitions to Army Brigade Combat Team Modernization 4-30
4.11.2 XM1216 Small Unmanned Ground Vehicle (SUGV) 4-32
4.11.3 UUV Sub-Pillars 4-33
4.11.4 Hovering Autonomous Underwater Vehicle (HAUV) 4-36
4.11.5 Alliant 4-36
4.11.6 ATSP is a Government-Wide Contracting Vehicle 4-38
4.11.7 Quick, efficient contracting vehicle 4-38
4.11.8 Facilitates Technology And Insertion Into Fielded Systems 4-38
4.11.9 Access to all Northrop Grumman sectors 4-39
4.12 iRobot Technology 4-39
4.12.1 iRobot AWARE Robot Intelligence Systems 4-39
4.12.2 iRobot Real-World, Dynamic Sensing. 4-40
4.12.3 iRobot User-Friendly Interface 4-40
4.12.4 iRobot Tightly-Integrated Electromechanical Design. 4-41
4.13 Evolution Robotics Technology Solutions 4-42
Evolution Robotics Example Applications 4-44
4.14 NASA Exploratory Robots 4-45
4.14.1 NASA Spirit Robot 4-46
4.14.2 NASA’s Mars Exploration Rover Spirit 4-48
Sample NASA Sprit Sol-By-Sol Summary: 4-50
4.14.3 Opportunity Update 4-51
4.14.4 NASA Opportunity Sol-By-Sol Summary 4-52
4.14.5 NASA Opportunity Robot 4-54
4.15 Remote Controlled Robot Missions 4-55
4.15.1 Auto-Navigation System Takes Pictures
Of The Nearby Terrain 4-59
4.15.2 Mars Robotic Rovers Spirit And Opportunity 4-61
4.16 Self-Reproducing Machines 4-62
4.16.1 M-TRAN Modular Transformer 4-62
4.16.2 Attitude Control In Space By Control Moment Gyros 4-63

5. MILITARY ROBOT COMPANY PROFILES 5-1
5.1 American Reliance Inc. (AMREL) 5-1
5.1.1 Amrel Field Expedient Robot Controls Interoperability 5-2
5.1.2 Amrel Small-Footprint, Highly Integrated,
Rugged Mobile Computing Solutions 5-2
5.2 BAE Systems 5-2
5.2.1 BAE Systems Ant Size Robot 5-3
5.2.2 BAE Personal Robots 5-5
5.2.3 BAE Systems Large UGV 5-5
5.3 Boston Dynamics 5-5
5.4 Doosan Infracore / Bobcat Company 5-6
5.5 General Dynamics 5-7
5.5.1 General Dynamics Combat Autonomous Mobility
System (CAMS) 5-7
5.5.2 General Dynamics $60 Million Contract by U.S.
Air Force for Mission Operations Support 5-8
5.5.3 General Dynamics Revenue 5-9
5.5.4 General Dynamics Business Group Revenue 5-10
5.5.5 General Dynamics Combat Systems Awards 5-13
5.5.6 General Dynamics Land Systems $24
Million Contract To Supply Commanders Remote
Operated Weapons 5-13
5.5.7 General Dynamics Canadian Government¡¯s
LAV III Upgrade Program 14
5.5.8 General Dynamics U.S. Military Vehicle Business 5-15
5.6 Gostai 5-16
5.7 iRobot 5-16
5.7.1 iRobot Home Robots 5-17
5.7.2 iRobot Government and Industrial Robots 5-17
5.7.3 iRobot Locations 5-17
5.7.4 iRobot Military Programs 5-17
5.7.5 iRobot Revenue 5-19
5.7.6 iRobot Geographic Information 5-25
5.7.7 iRobot Significant Customers 5-25
5.7.8 iRobot Description 5-25
5.7.9 iRobot Industry Segment, Geographic Information
and Significant Customers 5-27
5.7.10 iRobot Home Robots 5-27
5.7.11 iRobot Government and Industrial 5-27
5.7.12 iRobot Geographic Information 5-32
5.7.13 iRobot Home Robot Division Revenue And Units Shipped 5-33
5.7.14 iRobot Government And Industrial Division 5-34
5.7.15 iRobot Strategy 5-36
5.7.16 iRobot Government and Industrial Products 5-38
5.7.17 iRobot Home Robots 5-42
5.7.18 iRobot Government & Industrial Robots 5-42
5.7.19 iRobot Partners and Strategic Alliance 5-43
5.7.20 iRobot / Boeing Company 5-43
5.7.21 iRobot / Advanced Scientific Concepts 5-43
5.7.22 iRobot / TASER International, 5-44
5.8 Kongsberg 5-44
5.8.1 Increased Scope of Kongsberg CROWS II
Framework Agreement 5-45
5.8.2 Kongsberg Ownership 5-45
5.8.3 Kongsberg Manufacturing locations 5-46
5.8.4 Kongsberg Operations Revenue 5-47
5.8.5 Kongsberg Employees 5-47
5.9 Lockheed Martin 5-48
5.9.1 Lockheed Martin Defense Department Positioning 5-49
5.10 Northrop Grumman 5-53
5.10.1 Northrop Grumman Remotec Robots 5-54
5.11 Qinetiq / Foster-Miller 5-55
5.11.1 QinetiQ UK MOD and the US DoD provide target markets 5-56
5.11.2 QinetiQ Revenue 2005-2009 5-58
5.11.3 QinetiQ North America 5-61
5.11.4 QinetiQ Revenue 5-64
5.11.5 QinetiQ UK 5-66
5.11.6 QinetiQ North America 5-66
5.11.7 QinetiQ Autonomy and Robotics 5-67
5.11.8 QinetiQ Group Revenues 5-68
5.11.9 QinetiQ Business Review Governance 5-70
5.11.10 QinetiQ Revenue By Customer 5-71
5.11.11 QinetiQ North America 5-73
5.12 QinetiQ North America / Foster-Miller 5-75
5.12.1 QinetiQ North America / Foster-Miller 5-77
5.12.2 QinetiQ Common Robotic Controller (CRC) 5-77
5.12.3 QinetiQ North America World-Class Technology 5-78
5.12.4 QinetiQ North America Technology Solutions Group 5-79
5.13 Robotic Technology Inc. 5-79
5.13.1 RTI Energetically Autonomous Tactical Robot (EATR) Project 5-80
5.13.2 RTI Intelligent Vehicle Technology Transfer (IVTT) Program 5-81
5.13.3 Robotic Technology Precision Urban Hopper 5-84
5.13.4 Robotic Technology Robot 5-85
5.14 Telerob 5-85
5.14.1 Telerob – EOD / IEDD Equipment,
EOD Robots and Vehicles 5-86
5.14.2 TEODor Heavy Duty Explosive
Ordnance Disposal (EOD) Robot 5-87
5.14.3 Telerob Telemax High-Mobility EOD Robot 5-88
5.14.4 Telerob EOD / IEDD service vehicles 5-88
5.14.5 Telerob¡¯s Electrical Force-Reflecting-Manipulators (FRMs) 5-91
5.14.6 American Crane and Equipment Corp
and Telerob Partnership 5-92
5.15 Versa / Allen-Vanguard 5-93
5.15.1 Allen Vanguard Trading Suspended on Stock 5-94
5.15.2 Allen Vanguard HAL® EOD/IEDD/
Search Tasks Hook and Line System 5-96
5.15.3 Versa / Allen Vanguard Equinox I 5-99
5.15.4 Versa / Allen Vanguard Field Test Set 5-100
5.15.5 Allen-Vanguard Revenue 5-100
5.16 VIA Technologies 5-103
5.16.1 VIA Technologies Complete Platform Provider 5-104
5.16.2 VIA Technologies Market Leadership 5-104
5.16.3 VIA Technologies Global Operations 5-105
5.16.4 VIA Technologies Meeting the Market Challenge 5-106
5.16.5 VIA Technologies Dynamic Fabless Business Model 5-107
5.17 Selected Manufacturers of Military Robots 5-107
5.18 Government Agencies and Other Organisations
Using Military Robots 5-111
5.18.1 RTI Intelligent Vehicle Technology Transfer (IVTT) Program 5-114

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