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Collision/Obstacle Avoidance Coordination of Multi-Robot Systems: A Survey

Guang‐Hong Yang, Liwei An, Can Zhao

Year
2025
Citations
4

Abstract

Multi-robot systems (MRSs) are widely applied in the fields of joint search and rescue, exploration, and carrying. To achieve cooperative tasks and guarantee physical safety, the robots should avoid inter-robot collisions as well as robot–obstacle collisions. However, the collision/obstacle avoidance task usually conflicts with the given cooperative task, which poses a significant challenge for the achievement of multi-robot cooperative tasks. This paper provides a review of the state-of-the-art results in the collision/obstacle avoidance cooperative control of MRSs. Specifically, the latest developments of collision/obstacle avoidance cooperative control are summarized according to different planning strategies and classified into three categories: (1) offline planning; (2) receding horizon planning; and (3) reactive control. Furthermore, specific design solutions for existing reference/command governors are highlighted to demonstrate the latest research advances. Finally, several challenging issues are discussed to guide future research.

Keywords

Collision avoidanceObstacle avoidanceRobotObstacleComputer scienceControl engineeringHuman–computer interactionCollisionEngineeringSimulation

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