Probability-based weighting of performance criteria for a redundant manipulator

A method to simultaneously optimize multiple performance criteria for a redundant manipulator is presented. Preferred formulation requirements for the criteria are discussed, and previously proposed normalization methods are examined. A statistically based variable weighting technique is developed and evaluated. A seven-degree-of freedom Robotics Research Corporation manipulator is used as a test bed for the multiple criteria optimization scheme.<
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