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如何针对煤矿井下环境的不确定性规划机器人的路径是其中的一个难点。文章提出了一种基于Q-learning算法的移动机器人路径规划,希望对提高机器人救援的避障能力的提升,起到一定的促进作用。
How to plan the path of the robot for the uncertainty of underground mine environment is one of the difficulties. This paper presents a mobile robot path planning based on Q-learning algorithm, hoping to improve the obstacle avoidance capability of robot rescue to some extent.