Parallel Bacterial Potential Field Algorithm for Path Planning in Mobile Robots: A GPU Implementation

Author(s):  
Ulises Orozco-Rosas ◽  
Oscar Montiel ◽  
Roberto Sepúlveda
2014 ◽  
Vol 529 ◽  
pp. 646-649 ◽  
Author(s):  
Long Xiang Yang ◽  
Zai Xin Liu ◽  
Hao Tang

The main objective of this paper is to focus on the local minima and the GNRON issues encountered in path planning by the artificial potential field (APF) method, and propose a novel approach to plan a trajectory adaptive for the environment that the obstacles are randomly distributed. By introducing the ideas of reactive behaviors (RB), the RB-APF method is presented, which combines the efficiency of the APF with the simplicity of the RB, so it can be suitable for real-time application in mobile robots. In this algorithm (RB-APF), the switch conditions and optimal selection equations are reasonably designed with the consideration of the different circumstances of the robot located in. Simulations are presented and the results further demonstrate that the proposed approach is applicable for the environment that obstacles are randomly distributed.


2016 ◽  
Vol 82 ◽  
pp. 24-34 ◽  
Author(s):  
Bence Kovács ◽  
Géza Szayer ◽  
Ferenc Tajti ◽  
Mauricio Burdelis ◽  
Péter Korondi

2018 ◽  
Vol 100 ◽  
pp. 68-78 ◽  
Author(s):  
Farhad Bayat ◽  
Sepideh Najafinia ◽  
Morteza Aliyari

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