• DocumentCode
    2334718
  • Title

    3D relative pose estimation from distance-only measurements

  • Author

    Trawny, Nikolas ; Zhou, Xun S. ; Zhou, Ke X. ; Roumeliotis, Stergios I.

  • Author_Institution
    Univ. of Minnesota, Minneapolis
  • fYear
    2007
  • fDate
    Oct. 29 2007-Nov. 2 2007
  • Firstpage
    1071
  • Lastpage
    1078
  • Abstract
    In this paper, we develop an algorithm for determining the relative position and attitude of two robots moving in 3D, using only dead-reckoning and inter-robot distance measurements. From the mechanical analogue of parallel manipulators, it is known that this problem has 40 solutions when six distance measurements are available. These general solutions are not known in closed-form, and existing closed-form solutions require additional bearing sensors, or impose strong constraints on the geometric structure of the manipulator (in our case, the robots´ trajectories). This paper presents, for the first time, an efficient, algebraic algorithm to solve the relative pose using 10 distance measurements, without imposing any constraints on the robots´ motion. We further present a weighted least-squares refinement step, and validate our algorithm in various simulations, demonstrating its efficiency and accuracy.
  • Keywords
    algebra; distance measurement; least squares approximations; mobile robots; multi-robot systems; pose estimation; 3D relative pose estimation; algebraic algorithm; dead-reckoning; distance-only measurements; interrobot distance measurements; parallel manipulators; weighted least-squares refinement; Acoustic sensors; Distance measurement; Extraterrestrial measurements; Global Positioning System; Intelligent robots; Manipulators; Mars; Position measurement; Robot kinematics; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-0912-9
  • Electronic_ISBN
    978-1-4244-0912-9
  • Type

    conf

  • DOI
    10.1109/IROS.2007.4399075
  • Filename
    4399075