Fuzziness In Approximate And Common-Sense Reasoning In Knowledge-Based Robotics Systems

David R. Dodds

doi:10.1117/12.942899

31 October 1987 Fuzziness In Approximate And Common-Sense Reasoning In Knowledge-Based Robotics Systems

David R. Dodds

Proceedings Volume 0851, Space Station Automation III; (1987) https://doi.org/10.1117/12.942899
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

Abstract

Fuzzy functions, a major key to inexact reasoning, are described as they are applied to the fuzzification of robot co-ordinate systems. Linguistic-variables, a means of labelling ranges in fuzzy sets, are used as computationally pragmatic means of representing spatialization metaphors, themselves an extraordinarily rich basis for understanding concepts in orientational terms. Complex plans may be abstracted and simplified in a system which promotes conceptual planning by means of the orientational representation.

Citation Download Citation

David R. Dodds "Fuzziness In Approximate And Common-Sense Reasoning In Knowledge-Based Robotics Systems", Proc. SPIE 0851, Space Station Automation III, (31 October 1987); https://doi.org/10.1117/12.942899

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