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Learning in tele-autonomous systems using SoarRobo-Soar is a high-level robot arm control system implemented in Soar. Robo-Soar learns to perform simple block manipulation tasks using advice from a human. Following learning, the system is able to perform similar tasks without external guidance. It can also learn to correct its knowledge, using its own problem solving in addition to outside guidance. Robo-Soar corrects its knowledge by accepting advice about relevance of features in its domain, using a unique integration of analytic and empirical learning techniques.
Document ID
19900020503
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Laird, John E.
(Michigan Univ. Ann Arbor, MI, United States)
Yager, Eric S.
(Michigan Univ. Ann Arbor, MI, United States)
Tuck, Christopher M.
(Michigan Univ. Ann Arbor, MI, United States)
Hucka, Michael
(Michigan Univ. Ann Arbor, MI, United States)
Date Acquired
September 6, 2013
Publication Date
January 31, 1989
Publication Information
Publication: JPL, California Inst. of Tech., Proceedings of the NASA Conference on Space Telerobotics, Volume 3
Subject Category
Cybernetics
Accession Number
90N29819
Funding Number(s)
CONTRACT_GRANT: N00014-88-K-0554
CONTRACT_GRANT: NCC2-517
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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