Connectionist modeling for arm kinematics using visual information

The self-organizing adaptive map algorithm is adopted to learn all possible postures for an artificial arm of arbitrary configuration placed in a three-dimensional workspace. Arm postures are represented through their projections onto a set of image planes. Based on the link orientation and link len...

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Veröffentlicht in:	IEEE transactions on systems, man and cybernetics. Part B, Cybernetics man and cybernetics. Part B, Cybernetics, 1996-02, Vol.26 (1), p.89-99
1. Verfasser:	Campos, T.P.R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Arm Artificial neural networks Biological system modeling Data mining Grippers Kinematics Neurons Robots State-space methods
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