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Pré-Publication, Document De Travail Année : 2012

Optimal Motion Planning for Humanoid Robots

Résumé

This paper aims at combining state of the art developments of path planning and optimal control and to create the algorithmic foundations to tackle optimal control problems in cluttered environments. Our contribution is three-fold: first, we describe a simple method to automatically generate minimum bounding capsules around exact robot body geometries represented by meshes. Second, we use the bounding capsules to implement distance constraints for an optimal control problem solver and achieve (self-)collision avoidance. Finally, we propose a complete two-stage framework for optimal motion planning on complex robots. This framework is successfully applied to generate optimal collision-free trajectories both in simulation and on the humanoid robot HRP-2.
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Dates et versions

hal-00715419 , version 1 (18-09-2012)
hal-00715419 , version 2 (24-01-2013)
hal-00715419 , version 3 (05-04-2013)

Identifiants

  • HAL Id : hal-00715419 , version 1

Citer

Antonio El Khoury, Florent Lamiraux, Michel Taïx. Optimal Motion Planning for Humanoid Robots. 2012. ⟨hal-00715419v1⟩
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