Multi-objective mobile robot path planning algorithm based on adaptive genetic algorithm

Author(s):  
Changfu Yang ◽  
Tao Zhang ◽  
Xihao Pan ◽  
Mengyang Hu
2013 ◽  
Vol 416-417 ◽  
pp. 757-761 ◽  
Author(s):  
Ming Xin Yuan ◽  
Pan Pan Zhang ◽  
Han Yang Li ◽  
Shuai Cheng ◽  
Yi Shen

To solve the mobile robot path planning in uncertain environments, a new path planning algorithm is presented on the basis of the biological immune network. The environment surrounding the robot is taken as the antigen, and the behavior strategy of robot is taken as the antibody. The selection model of antibody concentration is defined based on the Jernes idiotypic immune network hypothesis, and the mobile robot path planning is realized through the selection of the antibody concentration. The simulation of path planning for mobile robot in multi-obstacle environments shows that the robot can find a safe path in complicated environments, which verifies the better adaptivity of proposed planning model. The simulation in dynamic environments shows that the robot can safely avoid all dynamic obstacles, which verifies the better flexility of new algorithm.


2020 ◽  
Vol 1486 ◽  
pp. 032018
Author(s):  
Jinzheng Shi ◽  
Yifan Su ◽  
Chunguang Bu ◽  
Xiaoliang Fan

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