• DocumentCode
    3516740
  • Title

    A receding horizon control approach to obstacle avoidance

  • Author

    Kiss, Domokos ; Tevesz, Gábor

  • Author_Institution
    Dept. of Autom. & Appl. Inf., Budapest Univ. of Technol. & Econ., Budapest, Hungary
  • fYear
    2011
  • fDate
    19-21 May 2011
  • Firstpage
    397
  • Lastpage
    402
  • Abstract
    The dynamic window approach to collision avoidance is a well-known method in the mobile robotics field. It provides an elegant way to navigate safely in the presence of obstacles, also taking the dynamic properties of the robot into account. There are different variants of this method, all having the same limitation, namely they use an objective function consisting of weighted terms. Different situations require different weights, however, there is no algorithm for choosing them. An inappropriate weighting can inhibit reaching the goal. This paper presents a navigation scheme based on the idea of dynamic window approach (DWA) and using receding horizon control (RHC). This method uses an objective function that does not contain weights. Kinematic and dynamic constraints of the robot are taken into account and a safe and goal-oriented motion is ensured.
  • Keywords
    collision avoidance; infinite horizon; mobile robots; motion control; navigation; robot dynamics; robot kinematics; DWA; RHC; dynamic window approach; goal-oriented motion; inappropriate weighting; mobile robotics field; navigate safely; navigation scheme; objective function; obstacle avoidance; receding horizon control approach; robot dynamic constraints; robot dynamic property; robot kinematic constraints; weighted terms; Acceleration; Aerospace electronics; Collision avoidance; Dynamics; Navigation; Noise measurement; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2011 6th IEEE International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4244-9108-7
  • Type

    conf

  • DOI
    10.1109/SACI.2011.5873036
  • Filename
    5873036