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This is an area to provide students and instructors with additional resources. Please feel free to add to these!

Further Reading

  1. Arkin, R. C. (1998) Behavior Based Robotics. Cambridge Mass. : MIT Press.

  2. Bonasso, R. P., Kortenkamp, D., & Murphy, R. (Eds.). (1998). Artificial Intelligence and Mobile Robots. MIT Press.

  3. Brooks, R.A.,(1986) A Robust Layered Control System For A Mobile Robot, IEEE Journal Of Robotics And Automation, RA-2, April. pp. 14-23.

  4. Brooks, R.A.,(1989) A Robot that Walks; Emergent Behaviors from a Carefully Evolved Network, Neural Comutation 1(2)

  5. Computer Vision Education Digital Library Collection. [WWW]http://cved.org/.

  6. Cox, E. (1998) The Fuzzy Systems Handbook. Second Edition.

  7. Downey, A., Elkner, J., Meyers, C. How to Think Like a Computer Scientist. [WWW]http://ibiblio.org/obp/thinkCS/python/english/.

  8. Elman, et al. (1998) Rethinking Innateness: A Connectionist Perspective on Development. Cambridge, Mass. : MIT Press.

  9. Elman, J. & Plunkett, K. (1998) Exercises in Rethinking Innateness: A Handbook for Connectionist Simulations. Cambridge, Mass. : MIT Press.

  10. Elman, J. (1990) Finding Structure in Time. Cognitive Science.14:179--211.

  11. Floreano, D., Stefano, N. (2000) Evolutionary Robotics. Cambridge, Mass. : MIT Press.

  12. Fredrik Linåker and Lars Niklasson. Sensory Flow Segmentation using a Resource Allocating Vector Quantizer. [WWW]http://citeseer.nj.nec.com/285911.html.

  13. Hinton, G. (1992) How Neural Networks Learn From Experience. Scientific American. September.

  14. Holland, John H. (1975) Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbour.

  15. Kohonen, T. [WWW]som_doc.ps.

  16. Kohonen, T. (2001) Self Organizing Maps. Germany : Springer. 3rd Edition.

  17. Lui, J., Wu, J. (2001). Multi-Agent Robotic Systems. New York : CRC Press.

  18. L. Meeden and D. Kumar (1998). Trends in evolutionary robotics. In Soft Computing for Intelligent Robotic Systems, edited by L.C. Jain and T. Fukuda, Physica-Verlag, New York, NY, pages 215-233.

  19. OMidvar, O., Van der Smagt, P., (Eds.). (1997) Neural Systems for Robotics. New York : Academic Press

  20. Plunkett, K., Sinha, C., Moller, M. F., & Strandsby, O. (1992). Symbol grounding or the emergence of symbols? Vocabulary growth in children and a connectionist net. Connection Science. Volume 4, Number 3 and 4.

  21. Pollack, J. (1990) Recursive distributed representations. Artificial Intelligence. 46, 77-105.

  22. Python Language Website. [WWW]http://www.python.org/

  23. Reactive Robot Control. [WWW]http://www.cs.nmsu.edu/~pfeiffer/altaira/public_html/submission/theory/background.html.

  24. Rumlehart, McClelland, PDP Research Group. (1987) Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Cambridge, Mass. : MIT Press.

  25. Rumlehart, McClelland. (1988) Explorations in Parallel Distributed Processing: A Handbook of Models, Programs, and Exercises. Cambridge, Mass. : MIT Press.

  26. Wang, L. (1997) Adaptive Fuzzy Systems for Control. Prentice Hall.

  27. R.A. Watson, S.G. Ficici, and J.B. Pollack (2000). Embodied evolution: Distributing an evolutionary algorithm in a population of robots. Technical report CS-00-208.

Pyro Modules Table of Contents

Modules

  1. PyroModuleIntroduction

  2. PyroModuleObjectOverview

  3. PyroModulePythonIntro

  4. PyroModuleDirectControl

  5. PyroModuleSequencingControl

  6. PyroModuleBehaviorBasedControl

  7. PyroModuleReinforcementLearning

  8. PyroModuleNeuralNetworks

  9. PyroModuleEvolutionaryAlgorithms

  10. PyroModuleComputerVision

  11. PyroModuleMapping

  12. PyroModuleMultirobot

  13. FurtherReading

Additional Resources

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  2. PyroAdvancedTopics

  3. PyroUserManual

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