We proposed a new redundancy-based solutions to avoid robot joint limits of a manipulator. We use a control scheme based on the task function approach. We first recall the classical gradient projection approach and we then present a far more efficient method that relies on the iterative computation of motion that does not affect the task achievement and ensures the avoidance problem. We apply this new method in a visual servoing application.
These results have been obtained on an Adept Viper robot.
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