Distributed Formation Control of Multi-Robot Systems with Path Navigation via Complex Laplacian

被引:0
|
作者
Wu, Xiru [1 ]
Wu, Rili [1 ]
Zhang, Yuchong [1 ]
Peng, Jiansheng [2 ]
机构
[1] Guilin Univ Elect Technol, Sch Elect Engn & Automat, Guilin 541004, Peoples R China
[2] Hechi Univ, Educ Dept Guangxi Zhuang Autonomous Reg, Key Lab AI & Informat Proc, Hechi 546300, Peoples R China
基金
中国国家自然科学基金;
关键词
complex Laplacian; formation control; path navigation; multi-robot systems; MULTIAGENT SYSTEMS; LOCAL-CONTROL; DESIGN;
D O I
10.3390/e25111536
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This paper focuses on the formation control of multi-robot systems with leader-follower network structure in directed topology to guide a system composed of multiple mobile robot agents to achieve global path navigation with a desired formation. A distributed linear formation control strategy based on the complex Laplacian matrix is employed, which enables the robot agents to converge into a similar formation of the desired formation, and the size and orientation of the formation are determined by the positions of two leaders. Additionally, in order to ensure that all robot agents in the formation move at a common velocity, the distributed control approach also includes a velocity consensus component. Based on the realization of similar formation control of a multi-robot system, the path navigation algorithm is combined with it to realize the global navigation of the system as a whole. Furthermore, a controller enabling the scalability of the formation size is introduced to enhance the overall maneuverability of the system in specific scenarios like narrow corridors. The simulation results demonstrate the feasibility of the proposed approach.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] LOCAL DISTRIBUTED CONTROL FOR MULTI-ROBOT NAVIGATION
    Terrones, A.
    Acuna, R.
    Certad, N.
    Fermin-Leon, L.
    Fernandez-Lopez, G.
    ADAPTIVE MOBILE ROBOTICS, 2012, : 797 - 804
  • [2] Distributed Formation Control with Pose Estimation in Multi-Robot Systems
    Ni, Liping
    Cao, Xianghui
    Cheng, Peng
    Chen, Jiming
    Sun, Youxian
    2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2013, : 834 - 839
  • [3] A Distributed Scalable Approach to Formation Control in Multi-robot Systems
    Navarro, Inaki
    Pugh, Jim
    Martinoli, Alcherio
    Matia, Fernando
    DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS 8, 2009, : 203 - +
  • [4] Distributed Laplacian Eigenvalue and Eigenvector Estimation in Multi-robot Systems
    Zareh, Mehran
    Sabattini, Lorenzo
    Secchi, Cristian
    DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS, 2019, 6 : 191 - 204
  • [5] Formation Control of Multi-robot Systems
    Liu, Shuai
    Chen, Chunlin
    Xie, Lihua
    Chang, Yeong-Hwa
    11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2010), 2010, : 1057 - 1062
  • [6] Distributed Sampling-Based Model Predictive Control via Belief Propagation for Multi-Robot Formation Navigation
    Jiang, Chao
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (04) : 3467 - 3474
  • [7] Path planning based on ant colony algorithm and distributed local navigation for multi-robot systems
    Liu, Shirong
    Mao, Linbo
    Yu, Jinshou
    IEEE ICMA 2006: PROCEEDING OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS, 2006, : 1733 - +
  • [8] Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios
    Fan, Tingxiang
    Long, Pinxin
    Liu, Wenxi
    Pan, Jia
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2020, 39 (07): : 856 - 892
  • [9] Multi-robot navigation in formation via sequential convex programming
    Alonso-Mora, Javier
    Baker, Stuart
    Rus, Daniela
    2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2015, : 4634 - 4641
  • [10] Distributed multi-robot task assignment and formation control
    Michael, Nathan
    Zavlanos, Michael M.
    Kumar, Vijay
    Pappas, George J.
    2008 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-9, 2008, : 128 - +