Research on mobile robot path planning based on improved artificial potential field

Artificial potential field method is one of the commonly used path planning methods. This paper introduces the defects of U-shaped obstacle problem, narrow channel, Local minimum, GNRON. Repulsive force field reconstruction is used to reduce the U-shaped obstacles and to solve the problem that cannot pass narrow channel, using “change target point as the target line” to solve the local minimum problem, for GNRON we use “Reverse repulsion force field” to solve. The feasibility of the algorithm is proved by simulation and analysis.

[1]  Meng Rui,et al.  A Study on Soccer Robot Path Planning with Fuzzy Artificial Potential Field , 2010, 2010 International Conference on Computing, Control and Industrial Engineering.

[2]  Zhuang Xiao.  OPTIMAL PATH PLANNING IN COMPLEX ENVIRONMENTS BASED ON OPTIMIZATION OF ARTIFICIAL POTENTIAL FIELD , 2003 .

[3]  Jin Ge Wang,et al.  Soccer Robot Path Planning Based on Evolutionary Artificial Field , 2012 .

[4]  Lian Xiaofeng.  Mobile robot path planning based on dynamic fuzzy artificial potential field method , 2010 .

[5]  Y Zhang.  Study of Local Path Planning of Mobile Robot based on Improved Artificial Potential Field Method , 2006 .

[6]  Shan Bao-min.  Simulation study on mobile robot path planning based on improved potential field , 2014 .

[7]  Ying Li,et al.  The new environment model building method of penetration mission based on the artificial potential field approach , 2012, 2012 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support.

[8]  Zhang Zeng-fang.  Study of local path planning of mobile robot based on improved artificial potential field method , 2008 .

[9]  Zhu Yi.  Study on the Local Minima Problem of Path Planning Using Potential Field Method in Unknown Environments , 2010 .

[10]  Fan Hong.  The Potential-Field Based Collision-Free-Path-Planning Approach for Point Robot , 2003 .

[11]  Jingyan Song,et al.  Study on the Local Minima Problem of Path Planning Using Potential Field Method in Unknown Environments: Study on the Local Minima Problem of Path Planning Using Potential Field Method in Unknown Environments , 2010 .

[12]  O. Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.