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Heuristic dense reward shaping for learning-based map-free navigation of industrial automatic mobile robots

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This paper presents a map-free navigation approach for industrial automatic mobile robots (AMRs), designed to ensure computational efficiency, cost-effectiveness, and adaptability. Utilizing deep reinforcement learning (DRL), the system enables real-time decis... ...