基于校园园区的送货机器人全局路径规划

Global Path Planning of Delivery Robot Based on Campus Park

由于城市配送发展水平的滞后,快递行业“最后一公里”问题成为整个商品供应链条中矛盾比较突出的环节,开展对自主送货机器人路径规划技术的研究可解决当前快递行业所面临的困难。以某大学校园作为全局路径规划的试验场地,该园区道路的几何特征较为明显,采用拓扑法建模可以对园区的道路特点进行充分利用;考虑到送货机器人需要对多个目标点进行配送,选取了模拟退火算法对基于校园园区建立的电子地图进行多目标点的全局路径规划,为自主送货机器人在封闭园区内进行配送的实现提供了理论依据。

Due to the lag in the development of urban distribution, the "last mile" problem in the express delivery industry has become a more prominent link in the entire commodity supply chain. Research on the path planning technology of autonomous delivery robots can solve the current difficulties faced by the express delivery industry. Taking a university campus as a test site for global path planning, the geometric characteristics of the roads in the park are more obvious. Using topology modeling can make full use of the road characteristics of the park. Considering that the delivery robot needs to deliver to multiple target points, the simulated annealing algorithm is selected to carry out multi-target global path planning based on the electronic map established in the campus park, which provides a theoretical basis for the realization of the delivery of autonomous delivery robots in the closed park.