Hybrid path planning using positioning risk and artificial potential fields

2021 ◽  
pp. 106640
Author(s):  
Yujin Shin ◽  
Euiho Kim
Keyword(s):  
Path Planning ◽  
Potential Fields ◽  
Artificial Potential Fields

Application of path planning based on Artificial Potential Fields to mobile robots with distributed processing

2018 ◽  
Author(s):  
Kamilla Pereira Peixoto ◽  
Pedro Henrique Silva Coutinho ◽  
Allan Cavalcante Araújo ◽  
Berguem Paula Santos Almeida ◽  
Thiago Chagas
Keyword(s):  
Path Planning ◽  
Mobile Robots ◽  
Distributed Processing ◽  
Potential Fields ◽  
Artificial Potential Fields

A Hybrid Algorithm to Solute the Problem of the Robot Path Planning

2011 ◽  
Vol 383-390 ◽  
pp. 385-389
Author(s):  
Quan Bo Yuan ◽  
Hui Juan Wang ◽  
Peng Hua Zhu ◽  
Hui Zhao
Keyword(s):  
Genetic Algorithm ◽  
Path Planning ◽  
Hybrid Algorithm ◽  
Local Minimum ◽  
Potential Fields ◽  
Robot Path Planning ◽  
Robot Simulation ◽  
Artificial Potential Fields ◽  
Simulation Results ◽  
Robot Path

This paper analyzes the problems of artificial potential fields in robot path planning. A hybrid algorithm for robot path planning is proposed. Robot searching for path in artificial potential fields method, it is possible that the robot can’t reach the goal because of local minimum, when it is best to use a genetic algorithm for robot. Simulation results show the effectiveness of the models, and it can effectively solve the problem caused by defects of artificial potential fields in the path planning.

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