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

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 avoidanc...

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Main Authors: Guanghong Yang, Liwei An, Can Zhao
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Actuators
Subjects:
Online Access:https://www.mdpi.com/2076-0825/14/2/85
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author Guanghong Yang
Liwei An
Can Zhao
author_facet Guanghong Yang
Liwei An
Can Zhao
author_sort Guanghong Yang
collection DOAJ
description 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.
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issn 2076-0825
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spelling doaj-art-13ca9faac87e4744836c4315a0d8e6172025-08-20T02:44:57ZengMDPI AGActuators2076-08252025-02-011428510.3390/act14020085Collision/Obstacle Avoidance Coordination of Multi-Robot Systems: A SurveyGuanghong Yang0Liwei An1Can Zhao2College of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaMulti-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.https://www.mdpi.com/2076-0825/14/2/85multi-robot systemscooperationcollision/obstacle avoidance
spellingShingle Guanghong Yang
Liwei An
Can Zhao
Collision/Obstacle Avoidance Coordination of Multi-Robot Systems: A Survey
Actuators
multi-robot systems
cooperation
collision/obstacle avoidance
title Collision/Obstacle Avoidance Coordination of Multi-Robot Systems: A Survey
title_full Collision/Obstacle Avoidance Coordination of Multi-Robot Systems: A Survey
title_fullStr Collision/Obstacle Avoidance Coordination of Multi-Robot Systems: A Survey
title_full_unstemmed Collision/Obstacle Avoidance Coordination of Multi-Robot Systems: A Survey
title_short Collision/Obstacle Avoidance Coordination of Multi-Robot Systems: A Survey
title_sort collision obstacle avoidance coordination of multi robot systems a survey
topic multi-robot systems
cooperation
collision/obstacle avoidance
url https://www.mdpi.com/2076-0825/14/2/85
work_keys_str_mv AT guanghongyang collisionobstacleavoidancecoordinationofmultirobotsystemsasurvey
AT liweian collisionobstacleavoidancecoordinationofmultirobotsystemsasurvey
AT canzhao collisionobstacleavoidancecoordinationofmultirobotsystemsasurvey