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Kinematic Bézier Maps

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5 Author(s)
Ulbrich, S. ; Inst. for Anthropomatics, Karlsruhe Inst. of Technol., Karlsruhe, Germany ; de Angulo, V.R. ; Asfour, T. ; Torras, C.
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The kinematics of a robot with many degrees of freedom is a very complex function. Learning this function for a large workspace with a good precision requires a huge number of training samples, i.e., robot movements. In this paper, we introduce the Kinematic Bézier Map (KB-Map), a parameterizable model without the generality of other systems but whose structure readily incorporates some of the geometric constraints of a kinematic function. In this way, the number of training samples required is drastically reduced. Moreover, the simplicity of the model reduces learning to solving a linear least squares problem. Systematic experiments have been carried out showing the excellent interpolation and extrapolation capabilities of KB-Maps and their relatively low sensitivity to noise.

Published in:

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on  (Volume:42 ,  Issue: 4 )

Date of Publication:

Aug. 2012

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