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基于改进人工势场法的移动机器人路径规划
引用本文:石为人,黄兴华,周伟. 基于改进人工势场法的移动机器人路径规划[J]. 计算机应用, 2010, 30(8): 2021-2023
作者姓名:石为人  黄兴华  周伟
作者单位:1. 重庆大学自动化学院2.
基金项目:重庆大学"211工程"三期创新人才培养计划项目 
摘    要:针对势场法的障碍物附近目标不可达的问题,改进了传统人工势场斥力函数,确保目标点是机器人的势场全局最小点,使得机器人顺利到达目标点。针对势场法的局部最小值问题,提出了一种连接局部最小值区域障碍物的方法,建立了机器人离散传感器模型,使机器人快速走出局部最小值区域。改进后的人工势场法适用于复杂室内环境下的机器人路径规划。仿真结果证明了该方法的有效性。

关 键 词:移动机器人   路径规划   人工势场法   局部最小值
收稿时间:2010-03-03
修稿时间:2010-04-01

Path planning of mobile robot based on improved artificial potential field
SHI Wei-ren,HUANG Xing-hua,ZHOU Wei. Path planning of mobile robot based on improved artificial potential field[J]. Journal of Computer Applications, 2010, 30(8): 2021-2023
Authors:SHI Wei-ren  HUANG Xing-hua  ZHOU Wei
Abstract:This paper utilized an improved artificial potential field to solve the problem of Goals Nonreachable with Obstacle Nearby (GNON). The improved artificial potential field adopted the improved potential function that ensured the goal is the global minimum so the robot can reach the goal freely. To address the local minimum problem in classical potential field method, a method composed of obstacles connection and discrete model of sensor of robot was proposed. The improved method was adaptable to path planning of robots in complex indoor environment. The effectiveness of the improved algorithm was verified by simulation.
Keywords:mobile robot   path planning   artificial potential field   local minimum
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