常州大学学报（自然科学版）2016，Vol.28Issue(5)：74-77,4.DOI:10.3969/j.issn.2095-0411.2016.05.013
基于改进人工势场法的移动机器人避障路径规划算法
An Anti-Collision Path Planning Algorithm Based on Improved Artificial Potential Field Method for Mobile Robot
摘要
Abstract
Path planning is an important part of the mobile robot system,and it is very important to avoid obstacles to reach the goal point in time.In this paper,an improved artificial potential field algorithm is proposed to plan the anti-collision path,which is based on the study of the control characteristics for mo-bile robots.It can effectively alleviate the local minimum problem of the traditional artificial potential field method in path planning.The result of simulation and application proves the feasibility and effectiveness of this algorithm.关键词
移动机器人/避障路径规划/人工势场法/局部极小点Key words
mobile robot/anti-collision path planning/artificial potential field method/local minimum分类
信息技术与安全科学引用本文复制引用
倪天伟,江红,林金珠..基于改进人工势场法的移动机器人避障路径规划算法[J].常州大学学报（自然科学版）,2016,28(5):74-77,4.基金项目
河海大学文天学院校级科研项目(WT15001)。 （WT15001）
