Dynamic walking and whole-body motion planning for humanoid robots: an integrated approach

  • Authors:
  • Sébastien Dalibard;Antonio El Khoury;Florent Lamiraux;Alireza Nakhaei;Michel Taïx;Jean-Paul Laumond

  • Affiliations:
  • CNRS, LAAS, Toulouse, France, Univ de Toulouse, LAAS, Toulouse, France, Aldebaran Robotics, Paris, France;CNRS, LAAS, Toulouse, France, Univ de Toulouse, LAAS, Toulouse, France;CNRS, LAAS, Toulouse, France, Univ de Toulouse, LAAS, Toulouse, France;CNRS, LAAS, Toulouse, France, Univ de Toulouse, LAAS, Toulouse, France;CNRS, LAAS, Toulouse, France, Univ de Toulouse, LAAS, Toulouse, France;CNRS, LAAS, Toulouse, France, Univ de Toulouse, LAAS, Toulouse, France

  • Venue:
  • International Journal of Robotics Research
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a general method for planning collision-free whole-body walking motions for humanoid robots. First, we present a randomized algorithm for constrained motion planning, that is used to generate collision-free statically balanced paths solving manipulation tasks. Then, we show that dynamic walking makes humanoid robots small-space controllable. Such a property allows to easily transform collision-free statically balanced paths into collision-free dynamically balanced trajectories. It leads to a sound algorithm which has been applied and evaluated on several problems where whole-body planning and walk are needed, and the results have been validated on a real HRP-2 robot.