• DocumentCode
    185437
  • Title

    Path planning for a formation of autonomous robots in an unknown environment using artificial force fields

  • Author

    Dang, Anh Duc ; Horn, Joachim

  • Author_Institution
    Dept. of Electr. Eng., Inst. of Control Eng., Helmut Schmidt Univ., Hamburg, Germany
  • fYear
    2014
  • fDate
    17-19 Oct. 2014
  • Firstpage
    773
  • Lastpage
    778
  • Abstract
    A novel approach to path planning for the formation of a swarm of autonomous robots in an unknown environment is presented in this paper. This approach is designed based on the traditional potential fields combined with the rotational vector field. Under the action of this blended vector field, autonomous robots can easily avoid obstacles in order to reach the target position. Furthermore, in this approach, the neighboring robots in a swarm will be linked to each other by the attractive and the repulsive vector field between them in order to generate a stable formation. Information about obstacles, which each member robot detects from the environment, will be sent to all other member robots in the swarm. Hence, while these autonomous robots move towards the target position, the formation of them is maintained and there are no collisions between them. Simulation results and experiments have verified the success of this approach.
  • Keywords
    collision avoidance; multi-robot systems; artificial force fields; attractive vector field; autonomous robot swarm; blended vector field; obstacle avoidance; path planning; repulsive vector field; rotational vector field; Clocks; Collision avoidance; Equations; Force; Path planning; Robots; Vectors; Swarm intelligence; mobile sensor network; obstacle avoidance; vector fields;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, Control and Computing (ICSTCC), 2014 18th International Conference
  • Conference_Location
    Sinaia
  • Type

    conf

  • DOI
    10.1109/ICSTCC.2014.6982512
  • Filename
    6982512