• DocumentCode
    117644
  • Title

    Interleaving planning and control for efficient haptically-guided reaching in unknown environments

  • Author

    Park, Daehyung ; Kapusta, Ariel ; Hawke, Jeffrey ; Kemp, Charles C.

  • Author_Institution
    Healthcare Robot. Lab., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2014
  • fDate
    18-20 Nov. 2014
  • Firstpage
    809
  • Lastpage
    816
  • Abstract
    We present a new method for reaching in an initially unknown environment with only haptic sensing. In this paper, we propose a haptically-guided interleaving planning and control (HIPC) method with a haptic mapping framework. HIPC runs two planning methods, interleaving a task-space and a joint-space planner, to provide fast reaching performance. It continually replans a valid trajectory, alternating between planners and quickly reflecting collected tactile information from an unknown environment. One key idea is that tactile sensing can be used to directly map an immediate cause of interference when reaching. The mapping framework efficiently assigns raw tactile information from whole-arm tactile sensors into a 3D voxel-based collision map. Our method uses a previously published contact-regulating controller based on model predictive control (MPC). In our evaluation with a physics simulation of a humanoid robot, interleaving was superior at reaching in the 9 types of environments we used.
  • Keywords
    humanoid robots; manipulators; planning; predictive control; tactile sensors; 3D voxel-based collision map; HIPC method; MPC; contact-regulating controller; haptic mapping framework; haptic sensing; haptically-guided interleaving planning and control; haptically-guided reaching; humanoid robot; model predictive control; physics simulation; tactile sensing; whole-arm tactile sensors; Haptic interfaces; Planning; Tactile sensors; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanoid Robots (Humanoids), 2014 14th IEEE-RAS International Conference on
  • Conference_Location
    Madrid
  • Type

    conf

  • DOI
    10.1109/HUMANOIDS.2014.7041456
  • Filename
    7041456