• DocumentCode
    1765268
  • Title

    Adaptable Robot Formation Control: Adaptive and Predictive Formation Control of Autonomous Vehicles

  • Author

    Guillet, Audrey ; Lenain, Roland ; Thuilot, Benoit ; Martinet, P.

  • Author_Institution
    Irstea, Clermont-Ferrand, France
  • Volume
    21
  • Issue
    1
  • fYear
    2014
  • fDate
    41699
  • Firstpage
    28
  • Lastpage
    39
  • Abstract
    The ability to use cooperative small vehicles is of interest in many applications. From material transportation to farming operations, the use of small machines achieving small tasks, but able to work together to complete larger tasks, permits us to rely on a unique kind of vehicle. To be efficient, such a point of view requires the vehicles to be, at least partially, autonomous and their motion must be accurately coordinated for the tasks to be properly achieved. This article proposes a control framework dedicated to the accurate control of a fleet of mobile robots operating in formation. Decentralized control relying on interrobot communication has been favored. To ensure a high relative positioning, adaptive and predictive control techniques are considered, allowing us to account for the influence of several phenomena (such as dynamic perturbations or bad grip conditions) depreciating the relevance of classical approaches based on ideal robots and ideal contact conditions assumptions.
  • Keywords
    adaptive control; agricultural machinery; decentralised control; mobile robots; position control; predictive control; vehicles; adaptable robot formation control; adaptive control technique; autonomous vehicles; cooperative small vehicles; decentralized control; farming operation; high relative positioning; interrobot communication; material transportation; mobile robots; predictive control technique; predictive formation control; Autonomous vehicles; Mathematical model; Mobile robots; Navigation; Predictive methods; Robot kinematics;
  • fLanguage
    English
  • Journal_Title
    Robotics & Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/MRA.2013.2295946
  • Filename
    6740018