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36

IROS
2007
IEEE

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A learning framework for generic sensory-motor maps

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A learning framework for generic sensory-motor maps

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— We present a new approach to cope with unknown redundant systems. For this we present i) an online algorithm that learns general input-output restrictions and, ii) a method that, given a partial set of input-output variables, provides an estimate of the remaining ones, using the learned restrictions. We show applications of the algorithm using examples of direct and inverse robot kinematics.

Manuel Lopes, Bruno D. Damas

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General Input-output Restrictions | Inverse Robot Kinematics | IROS 2007 | Robotics | Unknown Redundant Systems |

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Added	03 Jun 2010
Updated	03 Jun 2010
Type	Conference
Year	2007
Where	IROS
Authors	Manuel Lopes, Bruno D. Damas

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