NeuroCOLT

Neural Networks and Computational Learning Theory

 

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NeuroCOLT Technical Report NC-TR-00-062

Dimensional Synthesis of Planar Stephenson-Mechanisms for Motion Generation by Circlepoint Search and Homotopy Methods

K. Meer, B. Schmitt, H. Schreiber

Abstract
The kinematic synthesis of Stephenson-mechanisms for motion generation is often based on specifying arbitrary values for certain kinematic dimensions. If no appropriate values are known an inadequate choice can make it impossible to find a good mechanism. Here a synthesis-method is presented where kinematic dimensions \emph{can} be chosen a priori (to meet side-conditions, e.\,g. a limited area for the loci of the fixed pivots), but don't \emph{have to} be chosen. A circlepoint search in combination with homotopy methods will be applied. Concerning the homotopy methods two approaches -- via the B\'ezout-number and the BKK-bound -- will be compared.

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