• DocumentCode
    123344
  • Title

    Autonomous and cooperative multirobot system for multi-object transportation

  • Author

    Maghsoud, Pegah ; De Silva, Clarence W. ; Khan, Mohammad Taha

  • Author_Institution
    Ind. Autom. Lab., Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2014
  • fDate
    22-24 Aug. 2014
  • Firstpage
    211
  • Lastpage
    217
  • Abstract
    This paper presents a multi-robot cooperation algorithm for object transportation, and is inspired by artificial immune system (AIS). The robotic team comprises multiple heterogeneous robots each with a unique set of capabilities. The developed multi-robot system (MRS) is autonomous and fully distributed. The task allocation algorithm allows for concurrent execution of multiple tasks in the system. Tasks in the developed MRS are heterogeneous objects that are randomly introduced to the system. The transportation of an object may only need a single robot or may require multiple cooperative robots. Essentially the developed MRS runs in an unknown, unstructured and dynamic environment. An experimental implementation and test results are used to demonstrate the effectiveness of the developed MRS.
  • Keywords
    artificial immune systems; goods distribution; multi-robot systems; transportation; AIS; artificial immune system; heterogeneous robots; multiobject transportation; multirobot cooperation algorithm; multirobot system; robotic team; task allocation algorithm; Artificial intelligence; Collision avoidance; Computers; Immune system; Robot kinematics; Transportation; Multi-robot system; artificial immune system; autonomous and distributed robotic systems; cooperative object transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2014 9th International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4799-2949-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2014.6926456
  • Filename
    6926456