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Path Planning of Restaurant Service Robot Based on A-star Algorithms with Updated Weights

机译：基于权重更新的A-star算法的饭店服务机器人路径规划

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摘要

Through the real-time gridded restaurant congestion map, aiming at the shortest weighted path, and based on the degree of channel congestion to change the weight of the restaurant channel in real-time, the A Star algorithm is improved to find the optimal restaurant service robot path, and the gridded map of a restaurant is used to verify the results. The results show that, compared with the traditional gridded map of a restaurant, the proposed algorithm is effective. A star algorithm with constant path weight and improved A star algorithm can effectively avoid crowded channels and improve the mobile efficiency of service robots. It has a certain practical application value in restaurant service robot system.
机译：通过实时网格化餐厅拥挤图，针对最短的加权路径，并基于信道拥挤度实时改变餐厅通道的权重，对A Star算法进行了改进，以找到最佳的餐厅服务机械手路径和餐厅的网格化地图用于验证结果。结果表明，与传统的餐厅网格地图相比，该算法是有效的。具有恒定路径权重的星形算法和改进的星形算法可以有效地避免拥挤的通道并提高服务机器人的移动效率。在饭店服务机器人系统中具有一定的实际应用价值。

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