One 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.
An improved autoassociative network for controlling autonomous robots
ISCA 16th International Conference
2001-03-28
Conference paper
No indication
English
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