Motion planning for a redundant manipulator by genetic algorithm using an evaluation function extracted from skilled operators

This paper proposes a motion planning method to cut a three dimensional workpiece by a redundant manipulator with six degrees of freedom. The method applies a genetic algorithm to optimize rotational angles of the end-effector on a path. For a fitness function, an evaluation function is defined based on references from skilled operators. The proposed method reduces the operator's labor, so that he only has to determine a path without considering redundant parameters. Simulations show the effectiveness of the proposed method.<
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