• DocumentCode
    1817482
  • Title

    Collinear formation control of autonomous robots to move towards a target using artificial force fields

  • Author

    Dang, Anh Duc ; Horn, Joachim

  • Author_Institution
    Inst. of Control Eng., Univ. of the Fed. Armed Forces Hamburg, Hamburg, Germany
  • fYear
    2015
  • fDate
    11-12 May 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we propose a novel approach to control autonomous robots to achieve a desired linear formation during movement towards the target position. Firstly, one robot, which has the closest distance to the target, is selected as the leader of the swarm. The desired formation is built based on the relative position between this leader and the target. Secondly, the trajectory of the remaining robots towards the optimal positions in the desired formation is driven by the artificial force fields. These force fields consist of the local and global attractive potential fields surrounding each virtual node in the desired formation. Furthermore, an orientation controller is added in order to guarantee that the desired formation is always headed in the invariant direction to the target position. In addition, the local repulsive force fields around each robot and obstacle are employed in order to avoid collisions during movement. The stability of a swarm following a desired collinear formation in invariant direction towards the target is verified in simulations and experiments.
  • Keywords
    collision avoidance; mobile robots; motion control; multi-robot systems; optimal control; stability; trajectory control; artificial force fields; autonomous robots; collinear formation control; collisions avoidance; global attractive potential fields; local attractive potential fields; local repulsive force fields; obstacle; optimal positions; orientation controller; relative position; robots trajectory; stability; swarm leader; target position movement; virtual node; Collision avoidance; Force; Robot kinematics; Simulation; Stability analysis; Trajectory; Formation control; artificial vector fields; collision avoidance; swarm intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies for Practical Robot Applications (TePRA), 2015 IEEE International Conference on
  • Conference_Location
    Woburn, MA
  • Type

    conf

  • DOI
    10.1109/TePRA.2015.7219698
  • Filename
    7219698