• DocumentCode
    1086528
  • Title

    Incremental Building of a Polyhedral Feature Model for Programming by Human Demonstration of Force-Controlled Tasks

  • Author

    Slaets, Peter ; Lefebvre, Tine ; Rutgeerts, Johan ; Bruyninckx, Herman ; De Schutter, Joris

  • Author_Institution
    Dept. of Mech. Eng., Katholieke Universiteit Leuven
  • Volume
    23
  • Issue
    1
  • fYear
    2007
  • Firstpage
    20
  • Lastpage
    33
  • Abstract
    This paper describes the construction of a local polyhedral 3-D feature model derived from pose and wrench sensor measurements collected during a force-controlled execution of a sequence of polyhedral contact formations. The procedure consists of two steps: 1) the sensor measurements are filtered, resulting in a (nonminimal) representation of a 3-D feature model; and 2) identification of a reduced set of geometric parameters (vertices and faces) of the rigid polyhedral objects in the environment is performed. The following improvements with respect to the state of the art are made: 1) creation of a polyhedral 3-D feature model of a previously unknown polyhedral environment; 2) estimation of a force decomposition useful for feedback in a force controller or for monitoring the contact forces; and 3) reduction of the number of model parameters, leading to a computational reduction, a better precision of the geometric parameters, and a higher level description of the contact topology
  • Keywords
    Bayes methods; force control; motion control; robots; Bayesian method; contact forces; force-controlled tasks; polyhedral 3D feature model; robots; sensor measurement; Buildings; Force control; Force feedback; Force measurement; Humans; Performance evaluation; Sensor phenomena and characterization; Solid modeling; State estimation; State feedback; Bayes factor; Kalman filter; compliant motion; contact modeling; estimation; geometric modeling; integrated likelihood; model reduction; polyhedral 3-D feature model; programming by demonstration (PbD);
  • fLanguage
    English
  • Journal_Title
    Robotics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1552-3098
  • Type

    jour

  • DOI
    10.1109/TRO.2006.886830
  • Filename
    4084576