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Author:

Wang, Z. (Wang, Z..) | Deng, H. (Deng, H..) | Zhang, L. (Zhang, L..)

Indexed by:

CPCI-S EI Scopus

Abstract:

Multi-robot systems (MRS) are widely used in military, industrial, and agricultural applications since they are capable of accomplishing tasks that individual robots cannot handle through collaborative cooperation. However, MRS often face challenges when considering formation characterization and obstacle avoidance simultaneously in real-world scenarios. In such context, a distributed cooperative formation and obstacle avoidance controller is proposed for wheeled mobile robots based on potential field method. In this paper, by using the leader-follower model, a consistency-based cooperative formation controller is designed, where the leader robot focuses on reaching the desired target point while the followers are responsible for maintaining the formation. Then, an obstacle avoidance controller based on potential field method is designed to avoid static and dynamic obstacles while preventing the formation from passing across the obstacles. Finally, the effectiveness and feasibility of the proposed cooperative method is verified through simulation tests and real experiments. © 2024 IEEE.

Keyword:

Cooperative formation control Obstacle avoidance Potential field method Multi-robot systems

Author Community:

  • [ 1 ] [Wang Z.]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Deng H.]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Deng H.]Engineering Research Center of Intelligence Perception and Autonomous Control, Ministry of Education, Beijing, China
  • [ 4 ] [Zhang L.]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhang L.]Engineering Research Center of Intelligence Perception and Autonomous Control, Ministry of Education, Beijing, China

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Year: 2024

Page: 980-985

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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