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CONTROL SYSTEMS IN MODERN ROBOTICS

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off. Companies have switched to a digital control system,<br />

giving them the ability to control multiple processes at the<br />

same time. These central computers provide companies with<br />

the ability to utilize more than one factor in computation<br />

than just one like an older system. Aspects such as heating<br />

and cooling systems, ventilation systems, lighting, etc. can<br />

all be constantly monitored to find the most economical<br />

setting that the company is looking for. By implementing<br />

faster control in smaller spaces, multiple apparatuses do not<br />

have to be implemented into control processes, saving<br />

energy [23].<br />

The faster these control systems are, the more complex<br />

information these systems can have. Their ability to<br />

determine the most efficient solution at a fast pace to<br />

problems given will save time, money and resourses. This<br />

will also help to reduce the large amount of waste disposal<br />

some manufacturing processes posses [23]. Improving the<br />

speed of control will improve human life and save mass<br />

amounts of energy.<br />

Control systems have allowed for reduced waste and<br />

resources in manufacturing processes and thermal control in<br />

buildings, but the control systems themselves are also<br />

representing a reduction in waste. Figure 2 illustrates one of<br />

the first control systems used for controlling an engine’s<br />

speed, which was replaced by a small computer chip.<br />

Changes such as this from analog to digital have made<br />

products more environmentally friendly as they use less<br />

material for their internal systems. This is an oftenoverlooked<br />

benefit of these modern control systems.<br />

POSSIBILITIES FOR THE FUTURE<br />

The control system is an extremely powerful device, giving<br />

users the ability to manipulate robots and make them do<br />

what they want. Through the addition of advanced sensors<br />

giving control systems vital information for making<br />

decisions, robots are able to have legs. With legs, robots like<br />

BigDog have much greater mobility than any robot we have<br />

ever seen before, traveling up slopes, over ice, and through<br />

tough terrain. These advanced sensors and appendages<br />

combined with more powerful computer hardware and<br />

software will make robots of the future more capable,<br />

reliable, and autonomous than ever. Robots like BigDog<br />

show that we are close to having mobile robots that can<br />

handle some of the toughest terrain and recover from slips<br />

and falls without any human intervention, indicating how<br />

close we are to achieving the ultimate science fiction goal:<br />

having a C3PO or iRobot that is capable of inputting<br />

environment data and acting accordingly.<br />

REFERENCES<br />

[1] J. Fulcher L. C. Jain. (2004). Applied Intelligent Systems. Berlin,<br />

Germany: Springer-Verlag.<br />

Paper 1018<br />

[2] C. W. deSilva. (1989). Control Sensors and Actuators. Englewood<br />

Cliffs, NJ: Prentice Hall.<br />

[3]http://upload.wikimedia.org/wikipedia/commons/1/1e/Centrifugal_gover<br />

nor.png<br />

[4] J. Maxwell. (1868). “On Governors”. Proceedings of the Royal Society.<br />

No. 100 p. 1.<br />

[5] K. J. Astrom and R. M. Murray. (2008). Feedback Systems. Princeton,<br />

NJ: Princeton University Press.<br />

[6] Patent: Wisner, D. A. (1968). U.S. Patent No. 3,511,329. Washington,<br />

DC: U.S. Patent and Trademark Office.<br />

[7] C. Phillips, T. Nagle. (1990). “Digital Control: System Analysis and<br />

Design‖. Englewood Cliffs, NJ: Prentice Hall.<br />

[8] B. Barraclough K. Dutton S. Thompson. (1997). The Art of Control<br />

Engineering. Harlow, England: Addison-Wesley.<br />

[9] J. L. Fuller. (1999). Robotics: Introduction, Programming, and<br />

Projects. Upper Saddle River, NJ: Prentice Hall.<br />

[10] S. R. Ruocco. (1987). “Robot Sensors and Transducers‖. New York-<br />

Toronto: Halsted Press.<br />

[11] “iPhone 4: Technical Specs”. Apple. [Online]. Available:<br />

http://www.apple.com/iphone/specs.html<br />

[12] A. C. Staugaard, Jr. (1987). Robotics and AI. Englewood Cliffs, NJ:<br />

Prentice Hall.<br />

[13] (1987, April). “Voyager-The Flying Computer Center”. NASA.<br />

[Online]. Available: http://history.nasa.gov/computers/Ch6-2.html<br />

[14] (2011, February 25). “Frequently Asked Questions”. Jet Propulsion<br />

Laboratory. [Online]. Available: http://voyager.jpl.nasa.gov/faq.html<br />

[15] M. Bajracharya, M.Maimone, D. Helmick. (2008, December).<br />

“Autonomy for Mars Rovers: Past, Present, and Future”. Computer Vol. 41<br />

No. 12 p. 45.<br />

[16] C. Cook. (2010, June 28). “Voyager 2 at 12,000 Days: The Super-<br />

Marathon Continues”. NASA. [Online]. Available:<br />

http://www.nasa.gov/mission_pages/voyager/voyager20100628.html<br />

[17] C. Cook. (2010, May 24). “Engineers Diagnosing Voyager 2 Data<br />

System—Update”. Jet Propulsion Laboratory. [Online]. Available:<br />

http://www.jpl.nasa.gov/news/news.cfm?release=2010-151<br />

[18] M. Raibert. (1986). “Legged Robots That Balance‖. Cambridge,<br />

Massachusetts: MIT Press.<br />

[19]http://upload.wikimedia.org/wikipedia/commons/1/10/Dragons_Teeth_<br />

at_Waverley_Abbey.JPG<br />

[20] “What Powers Watson?” IBM. [Online]. Available: http://www-<br />

03.ibm.com/innovation/us/watson/watson-for-a-smarter-planet/watsonschematic.html<br />

[21] M. Raibert, K. Blankespoor, G. Nelson, R. Playter, and the BigDog<br />

Team. (2008, April 8). “BigDog, the Rough-Terrain Quadruped Robot.”<br />

Boston Dynamics. [Online]. Available:<br />

http://www.bostondynamics.com/bd_index.html<br />

[22] Boston Dynamics. (2008). BigDog Powerpoint Slides. [Online].<br />

Available: http://www.bostondynamics.com/bd_index.html<br />

[23] Pierce, Julia. (2007, Aug. 13). “Sweet Solutions”. Engineer . Vol. 293<br />

Issue 7730, p46-48<br />

ACKNOWLEDGEMENTS<br />

We would like to thank our parents for inspiring our interest<br />

in the field of robotics. Also, we would like to thank our<br />

session co-chair Caitlin Magley and session chair Greg<br />

Wunderley for supporting us during the research process.<br />

University of Pittsburgh Swanson School of Engineering<br />

Eleventh Annual Freshman Conference April 9, 2011<br />

8

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