Abstract: This work proposes a synchronous obstacle avoidance tracking control framework with state constraints and interference compensation to achieve autonomous obstacle avoidance and track ...
Abstract: This paper proposes an optimized control method based on incremental Q-learning to address the trajectory tracking problem of Mecanum-wheeled mobile robots. Building upon a nominal ...
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