Proceedings Paper
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Paper Abstract
A learning autonomous robot must learn from sensor data and must decide what topics to learn about. We present the method of resolution limited quantization for learning from sensor data and the method of histogram density to guide the process of topic selection. The methods are complementary in that they use the same knowledge representation. We describe a program, GRID, which implements these methods,. We present an example run of this program learning in the domain of a simulated mobile robot.
Paper Details
Date Published: 21 March 1989
PDF: 8 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969327
Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)
PDF: 8 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969327
Show Author Affiliations
Brian J. Tillotson, High Technology Center (United States)
David L. Johnson, University of Washington (United States)
Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)
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