• DocumentCode
    3221744
  • Title

    Optimal formation of robots by convex hull and particle swarm optimization

  • Author

    Jun Liu ; Hongbin Ma ; Xuemei Ren ; Mengyin Fu

  • Author_Institution
    Sch. of Autom., Beijing Instn. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    104
  • Lastpage
    111
  • Abstract
    Formation control problem has been extensively investigated in the literature of multi-agent systems, robotics, and control, etc. Our previous work mainly concentrated on the theoretic study of line formation with three robots, however, it is hard to handle with the formation problem whose number of robots is strictly larger than 3. In order to effectively overcome this problem, this paper incorporates convex hull and the standard PSO algorithm to design the typical formation of several robots. Firstly, on the basis of convex hull of robots, objective function, corresponding to several constraints, is given by the new convex hull method. Secondly, the standard PSO algorithm is adopted to search for the desired positions of several robots to minimize the objective function and satisfy the formation constraints. To demonstrate the effectiveness of the proposed algorithm, numerical results, regarding the formation of several ships in the realistic ocean, mainly concentrate on triangle formation, diamond formation and regular polygon formation.
  • Keywords
    mobile robots; multi-robot systems; optimal control; particle swarm optimisation; position control; ships; PSO algorithm; convex hull method; diamond formation; formation constraint; formation control problem; multiagent system; objective function; optimal robot formation; particle swarm optimization; regular polygon formation; robotics; ship formation; triangle formation; Algorithm design and analysis; Linear programming; Performance analysis; Robot kinematics; Shape; Standards; Convex hull; Diamond formation; Equilateral triangle; Optimal formation; Particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Control and Automation (CICA), 2013 IEEE Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CICA.2013.6611670
  • Filename
    6611670