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Simulation research for mobile robot path planning based on improved artificial potential field method recommended by the AsiaSim

机译:基于改进的AsiaIM推荐的基于改进的人工潜在场方法的移动机器人路径规划仿真研究

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摘要

Mobile robot path planning is an important research branch in the field of mobile robots. The main disadvantage of the traditional artificial potential field (APF) method is prone to local minima problems. Improved artificial potential field (IAPF) method is presented in this paper to solve the problem in the traditional APF method for robot path planning in different conditions. We introduce the distance between the robot and the target point to the function of the original repulsive force field and change the original direction of the repulsive force to avoid the trap problem caused by the local minimum point. The IAPF method is suitable for mobile robot path planning in the complicated environment. Simulation and experiment results at the robot platform illustrated the superiority of the modified IAPF method.
机译:移动机器人路径规划是移动机器人领域的重要研究分支。传统人工势域(APF)方法的主要缺点易于局部最小问题。本文提出了改进的人工势域(IAPF)方法,以解决不同条件下的机器人路径规划中的传统APF方法中的问题。我们将机器人与目标点之间的距离引入原始排斥力场的功能,并改变排斥力的原始方向,以避免由局部最小点引起的陷阱问题。 IAPF方法适用于复杂环境中的移动机器人路径规划。机器人平台的仿真和实验结果示出了改进的IAPF方法的优越性。

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