Abstract
The next generation of robots will have a much higher level of intelligence. They will accept all types of information (sensor inputs), process it, make judgments on what should be done, generate appropriate output commands, and effect actions. To accomplish these functions, robots will require extensive information about their environment. They will also need a different type of programming logic, providing an intelligent, rather than a rote, response to new situations. Therefore, the next generation may be called intelligent robots. This chapter reviews the current status of a wide range of techniques that improve a robot’s intelligence level.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hall, Ernest L., and Lewis J. Pinson. Intelligent Robot Systems, SPIE Symposium. Cambridge, Mass., 1984, p. 2.6.2.
Ibid., p. 2.6.4.
Barr, Avron, and Edward A. Feigenbaum, eds. The Handbook of Artificial Intelligence, Vol. 1. Los Altos, Calif.: William Kaufman, Inc., 1981.
Davis, R., and J. King. An overview of production systems. Machine Intelligence 8, E. W. Elcock and D. Michie, eds. New York: Wiley, 1977.
Brownstone, Lee, et al. Programming expert systems in OPS5. An Introduction to Rule Based Programming. Reading, Mass.: Addison-Wesley, 1985.
Webster, Robin. Expert systems on microcomputers. Computers & Electronics, March 1985, p. 69.
Kaufmann, Arnold, and Madan Gupta. Introduction to Fuzzy Arithmetic. New York: Van Nostrand Reinhold, 1986.
Hough, P. V. C. Method and Means for Recognizing Complex Patterns, U.S. Patent #3,069,654 (1962).
Casasent, David, and Raghuram Krishnapuram. Detection of target trajectories using the Hough transform. Applied Optics, Vol. 26, No. 2, Jan. 1987, pp. 247–251.
Laugier, C, and J. Pertin-Troccaz. SHARP: A system for automatic programming of manipulation robots. 3rd International Symposium on Robotics Research. Gouvieux, France, Oct. 7–11, 1985.
Kirschbrown, R. H., and R. C. Dorf. Karma: A knowledge-based robot manipulation system. Robotics, Vol. 1, No. 1, May 1985, pp. 3–12.
Park, Jack. Forth and AI. Computers & Electronics, March 1985, p. 72.
Pountain, D. Parallel processing: A look at the ALICE hardware and Hope language. Byte, Vol. 10, No. 5, May 1985.
Warren, D. H. D. Implementing Prolog—Compiling Predicate Logic Programs, Technical Reports #39 and #40. University of Edinburgh, 1977.
Goldberg, Adele, and David Robson. Smalltalk-80: The Language and Its Implementation. Reading, Mass.: Addison-Wesley, 1983.
Harris, K. The FORTH philosophy. Dr. Dobb’s Journal, No. 59, Sept. 1981.
Thornburg, David D. Discovering Apple Logo: An Invitation to the Art and Pattern of Nature. Reading, Mass.: Addison-Wesley, 1983.
Fikes, R. E., and N. J. Nilsson. STRIPS: A new approach to the application of theorem proving to problem solving. Artificial Intelligence, Vol. 2, 1971, pp. 189–208.
Salisbury, J. K., and J. J. Craig. Articulated hands: Force control and kinematic issues. International Journal of Robotics Research, Vol. 1, No. 1, 1982, pp. 4–17.
Meyer, Ronald J. Applications of Artificial Intelligence. Presentation notes from tutorial at Robots 11, Chicago, Ill., April 1987.
Stauffer, Robert N. Artificial intelligence moves into robotics. Robotics Today, Vol. 9. No. 5, 1987, pp. 11–13.
Meyer, Applications of Artificial Intelligence.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1989 Van Nostrand Reinhold
About this chapter
Cite this chapter
Poole, H.H. (1989). Robot Intelligence. In: Fundamentals of Robotics Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-7050-5_11
Download citation
DOI: https://doi.org/10.1007/978-94-011-7050-5_11
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-011-7052-9
Online ISBN: 978-94-011-7050-5
eBook Packages: Springer Book Archive