Improving the Robustness of Evolved Robot Arm Control Programs Generated by Genetic Programming
نویسندگان
چکیده
This paper proposes a method to improve the robustness of a robot arm control program generated by genetic programming. The idea is to evolve the control program with multiple targets in the uncertainty region. The result shows that the robustness of a control program is improved with the number of targets in the training region. The analysis showed that a program trained with more targets would have more paths that contribute to its robustness.
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تاریخ انتشار 2000