Repulsion-Oriented Reciprocal Collision Avoidance for Multiple Mobile Robots

2021 ◽  
Vol 104 (1) ◽  
Author(s):  
Shaojie Wang ◽  
Xiaoguang Hu ◽  
Jin Xiao ◽  
Tianyou Chen
Keyword(s):  
Mobile Robots ◽  
Collision Avoidance ◽  
Multiple Mobile Robots

scholarly journals Navigation of multiple mobile robots with cooperative collision avoidance

1999 ◽  
Vol 32 (2) ◽  
pp. 593-598
Author(s):  
A. Fujimori ◽  
P.N. Nikiforuk ◽  
Madan M. Gupta
Keyword(s):  
Mobile Robots ◽  
Collision Avoidance ◽  
Multiple Mobile Robots

Cooperative collision avoidance between multiple mobile robots

2000 ◽  
Vol 17 (7) ◽  
pp. 347-363 ◽  
Author(s):  
Atsushi Fujimori ◽  
Masato Teramoto ◽  
Peter N. Nikiforuk ◽  
Madan M. Gupta
Keyword(s):  
Mobile Robots ◽  
Collision Avoidance ◽  
Multiple Mobile Robots

scholarly journals A PSO-Optimized Reciprocal Velocity Obstacles Algorithm for Navigation of Multiple Mobile Robots

2015 ◽  
Vol 4 (1) ◽  
pp. 31
Author(s):  
Ziyad Allawi ◽  
Turki Abdalla
Keyword(s):  
Particle Swarm Optimization ◽  
Mobile Robots ◽  
Collision Avoidance ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Multiple Mobile Robots ◽  
Kinematic Constraints ◽  
Navigation Control ◽  
Simulation Results

In this paper, a new optimization method for the Reciprocal Velocity Obstacles (RVO) is proposed. It uses the well-known Particle Swarm Optimization (PSO) for navigation control of multiple mobile robots with kinematic constraints. The RVO is used for collision avoidance between the robots, while PSO is used to choose the best path for the robot maneuver to avoid colliding with other robots and to get to its goal faster. This method was applied on 24 mobile robots facing each other. Simulation results have shown that this method outperforms the ordinary RVO when the path is heuristically chosen.

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