Abstract: With autonomous robots becoming increasingly integrated into human society, the efficiency of their path optimization is of paramount importance. To address the issue of redundant states in ...
Abstract: A novel adaptive fuzzy optimal compensation control approach is developed for modular robot manipulator (MRM). By incorporating integral reinforcement learning (IRL) to value iteration (VI), ...