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

Pengqi Hou, Pan Hu, Chen Guo

发表年份
2017
引用次数
22

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.

关键词

Maxima and minimaMobile robotMotion planningPotential fieldRobotPath (computing)Computer scienceField (mathematics)Point (geometry)Simulation

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