吉林大学学报（信息科学版）2023，Vol.41Issue(6)：998-1006,9.
基于改进入工势场法的路径规划研究
Research on Path Planning Based on Improved Artificial Potential Field Method
摘要
Abstract
An improved artificial potential field method is proposed to solve the problems of local minimum and unable to reach the target in the path planning of mobile robots.Firstly,in order for the robot to reach the target point when there are obstacles near the target point due to the large repulsive force,a safe distance factor is introduced into the potential field,and this parameter is optimized,so that the robot can maintain a proper distance from the obstacles and reach the target point smoothly.Secondly,in order to solve the local minimum problem,the local minimum discriminant condition is introduced,and the local minimum region is circum-navigated when the condition is triggered,so that the robot can reach the target point smoothly.The simulation results show that the improved algorithm has strong robustness when operating in the map environment with different number of obstacles.The proposed algorithm can make the robot bypass the local minimum area in the U-shaped obstacle environment,and successfully solve the local minimum problem in the mobile robot path planning.关键词
人工势场法/移动机器人/路径规划/局部极小值/安全距离因子/U型障碍物Key words
artificial potential field method/mobile robot/path planning/local minimum/safety distance factor/U-shaped obstacle分类
信息技术与安全科学引用本文复制引用
谢春丽,陶天艺,李佳浩..基于改进入工势场法的路径规划研究[J].吉林大学学报（信息科学版）,2023,41(6):998-1006,9.基金项目
黑龙江省自然科学基金资助项目(LH2021F002) （LH2021F002）
大学生创新训练基金资助项目(202210225441) （202210225441）
