PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning
Abstract: Robot navigation using deep reinforcement learning (DRL) has shown great potential in improving the performance of mobile robots. Nevertheless, most existing DRL-based navigation methods ...
Abstract: For autonomous navigation systems, effective path planning in complex environments is critical. The widely used artificial potential field (APF) method, though simple and intuitive, has ...
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