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An improved autoassociative network for controlling autonomous robotsOne promising approach to neural network controlled robotics is the use of autoassociative networks. These networks learn to move a sensor and effector vector through a plausible state-space.
Document ID
20060031218
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
hdl:2014/12390
Authors
Hand, C.
Date Acquired
August 23, 2013
Publication Date
March 28, 2001
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Distribution Limits
Public
Copyright
Other
Keywords
autoassociative networks autonomous robots

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