• DocumentCode
    2590480
  • Title

    Control of contact forces: The role of tactile feedback for contact localization

  • Author

    Prete, Andrea Del ; Nori, Francesco ; Metta, Giorgio ; Natale, Lorenzo

  • Author_Institution
    Robot., Brain & Cognitive Sci. Dept., Ist. Italiano di Tecnol., Genoa, Italy
  • fYear
    2012
  • fDate
    7-12 Oct. 2012
  • Firstpage
    4048
  • Lastpage
    4053
  • Abstract
    This paper investigates the role of precise estimation of contact points in force control. This analysis is motivated by scenarios in which robots make contacts, either voluntarily or accidentally, with different parts of their body. Control paradigms that are usually implemented in robots with no tactile system, make the hypothesis that contacts occur at the end-effectors only. In this paper we try to investigate what happens when this assumption is not verified. First we consider a simple feedforward force control law, and then we extend it by introducing a proportional feedback term. For both controllers we find the error in the resulting contact force, that is induced by a hypothetic error in the estimation of the contact point. We show that, depending on the geometry of the contact, incorrect estimation of contact points can induce undesired joint accelerations. We validate the presented analysis with tests on a simulated robot arm. Moreover we consider a complex real world scenario, where most of the assumptions that we make in our analytical derivation do not hold. Through tests on the iCub humanoid robot we see how errors in contact localization affect the performance of a parallel force/position controller. In order to estimate contact points and contact forces on the forearm of the iCub we do not use any model of the environment, but we exploit its 6-axis force/torque sensor and its sensorized skin.
  • Keywords
    force control; haptic interfaces; humanoid robots; position control; contact force control; contact localization; control paradigms; humanoid robot; hypothetic error; iCub humanoid robot; parallel force controller; parallel position controller; robot arm; tactile feedback; tactile system; Feedforward neural networks; Force; Force control; Jacobian matrices; Joints; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
  • Conference_Location
    Vilamoura
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-4673-1737-5
  • Type

    conf

  • DOI
    10.1109/IROS.2012.6385803
  • Filename
    6385803