A Comparison of Different Metaheuristic Algorithms for Optimizing Blended PTP Movements for Industrial Robots

The optimization of robot paths is important to reduce cycle times in industrial production processes. Even small time savings will accumulate and thus reduce production costs. This paper shows a method to automate the optimization of blended PTP movements for industrial robots and compares the performance of three metaheuristics.

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