An improved A* algorithm for the industrial robot path planning with high success rate and short length

2018 ◽  
Vol 106 ◽  
pp. 26-37 ◽  
Author(s):  
Bing Fu ◽  
Lin Chen ◽  
Yuntao Zhou ◽  
Dong Zheng ◽  
Zhiqi Wei ◽  
...  
Keyword(s):  
Path Planning ◽  
Success Rate ◽  
Industrial Robot ◽  
Short Length ◽  
High Success Rate ◽  
Robot Path Planning ◽  
A Algorithm ◽  
Robot Path

scholarly journals Time-efficient A* Algorithm for Robot Path Planning

2016 ◽  
Vol 23 ◽  
pp. 144-149 ◽  
Author(s):  
Akshay Kumar Guruji ◽  
Himansh Agarwal ◽  
D.K. Parsediya
Keyword(s):  
Path Planning ◽  
Robot Path Planning ◽  
A Algorithm ◽  
Robot Path

Multi-Robot Fish Path Planning Based on the Modified A* Algorithm

2014 ◽  
Vol 568-570 ◽  
pp. 1054-1058 ◽  
Author(s):  
Qiang Hong ◽  
Mei Xiao Chen ◽  
Yan Song Deng
Keyword(s):  
Path Planning ◽  
Optimal Path ◽  
Experimental Results ◽  
Robot Path Planning ◽  
A Algorithm ◽  
Optimal Path Planning ◽  
2D Simulation ◽  
Robot Fish ◽  
Robot Path ◽  
Multi Robot

Based on improved A* algorithm, this paper proposes the optimal path planning of robot fish in globally known environment, so as to achieve better coordination between the robot fish by means of improving their path planning. In the known obstacle environment which is rasterized, target nodes are generated via smoothing A* algorithm. The unnecessary connection points are removed then and the path is smoothed at the turning points. That improved algorithm, in combination with distributed scroll algorithms, is applied to multi-robot path planning in an effort to optimize the path with the avoidance of collision. The experimental results on the 2D simulation platform have verified the feasibility of that method.

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