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Autonomous vehicle motion control, approximate maps, and fuzzy logicProgress on research on the control of actions of autonomous mobile agents using fuzzy logic is presented. The innovations described encompass theoretical and applied developments. At the theoretical level, results of research leading to the combined utilization of conventional artificial planning techniques with fuzzy logic approaches for the control of local motion and perception actions are presented. Also formulations of dynamic programming approaches to optimal control in the context of the analysis of approximate models of the real world are examined. Also a new approach to goal conflict resolution that does not require specification of numerical values representing relative goal importance is reviewed. Applied developments include the introduction of the notion of approximate map. A fuzzy relational database structure for the representation of vague and imprecise information about the robot's environment is proposed. Also the central notions of control point and control structure are discussed.
Document ID
19930013030
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Ruspini, Enrique H.
(SRI International Corp. Menlo Park, CA, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1993
Publication Information
Publication: NASA. Johnson Space Center, Proceedings of the Third International Workshop on Neural Networks and Fuzzy Logic, Volume 2
Subject Category
Cybernetics
Accession Number
93N22219
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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