Non-collision conditions in multi-agent robots formation using local potential functions

被引:6
|
作者
Hernandez-Martinez, E. G. [1 ]
Aranda-Bricaire, E. [1 ]
机构
[1] CINVESTAV, Dept Elect Engn, Mechatron Sect, Mexico City 7000, DF, Mexico
关键词
D O I
10.1109/ROBOT.2008.4543790
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An analysis of the convergence and non-collision conditions of a formation control strategy for multi-agent robots based on local potential functions is presented. The goal is to coordinate a group of agents, considered as points in plane, to achieve a particular formation. The control law is designed using local attractive forces only where every agent knows the position of another two agents reducing the requirements of the control law implementation. The control law guarantees the convergence to the desired formation but does not avoid inter-agent collisions. A set of necessary and sufficient non-collision conditions based on the explicit solution of the closed-loop system is derived. The conditions allow to conclude from the initial conditions whether or not the agents will collide. The formal proof is presented for the case of three agents. The result is extended to the case of formations of three unicycles.
引用
收藏
页码:3776 / 3781
页数:6
相关论文
共 50 条
  • [1] Experimental Comparison of Non-collision Strategies in Multi-Agent Robots Formation Control
    Hernandez-Martinez, E. G.
    Aranda-Bricaire, E.
    [J]. 2009 52ND IEEE INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1 AND 2, 2009, : 321 - 324
  • [2] Non-Collision Conditions in Multi-Agent Virtual Leader-Based Formation Control
    Hernandez-Martinez, E. G.
    Aranda Bricaire, E.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2012, 9
  • [3] Analysis of Potential Fields for Formation of Multi-Agent Robots with Collision Avoidance
    Burohman, Azka Muji
    Joelianto, Endra
    Widyotriatmo, Augie
    [J]. 2017 5TH INTERNATIONAL CONFERENCE ON INSTRUMENTATION, CONTROL, AND AUTOMATION (ICA), 2017, : 115 - 120
  • [4] Formation with Non-Collision Control Strategies for Second-Order Multi-Agent Systems
    Aranda-Bricaire, Eduardo
    Gonzalez-Sierra, Jaime
    [J]. ENTROPY, 2023, 25 (06)
  • [5] Collision avoidance of mobile robots using multi-agent systems
    Soriano, Angel
    Bernabeu, Enrique J.
    Valera, Angel
    Vallés, Marina
    [J]. Advances in Intelligent Systems and Computing, 2013, 217 : 429 - 437
  • [6] Vision Based Collision Avoidance For Multi-Agent Systems Using Avoidance Functions
    Amrouche, Massinissa
    Marinho, Thiago
    Stipanovic, Dusan
    [J]. 2020 EUROPEAN CONTROL CONFERENCE (ECC 2020), 2020, : 1683 - 1688
  • [7] Optimal Filtering in Multi-agent Robots using Leader-follower Formation
    Ahmed, S.
    Hasan, M.
    Subhan, F.
    [J]. 17TH IEEE INTERNATIONAL MULTI TOPIC CONFERENCE 2014, 2014, : 440 - 444
  • [8] Multi-Agent Formation Control Based on Bell-Shaped Potential Functions
    Hengster-Movric, Kristian
    Bogdan, Stjepan
    Draganjac, Ivica
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2010, 58 (02) : 165 - 189
  • [9] Multi-Agent Formation Control Based on Bell-Shaped Potential Functions
    Kristian Hengster-Movrić
    Stjepan Bogdan
    Ivica Draganjac
    [J]. Journal of Intelligent and Robotic Systems, 2010, 58 : 165 - 189
  • [10] Path planning in formation and collision avoidance for multi-agent systems
    Cheng, Pangcheng David Cen
    Indri, Marina
    Possieri, Corrado
    Sassano, Mario
    Sibona, Fiorella
    [J]. NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2023, 47