Reinforcement Learning-Based Intelligent Path Planning for Optimal Navigation in Dynamic Environments
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Path selection and planning are crucial for autonomous mobile robots (AMRs) to navigate efficiently and avoid obstacles. Traditional methods rely on analytical search to identify the shortest distance. However, Reinforcement learning enhances performance by op... ...
