A 2-stages locomotion planner for digital actors
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
International Journal of Robotics Research
Numerical Optimization: Theoretical and Practical Aspects (Universitext)
Numerical Optimization: Theoretical and Practical Aspects (Universitext)
Bounding on rough terrain with the LittleDog robot
International Journal of Robotics Research
Sampling-based algorithms for optimal motion planning
International Journal of Robotics Research
Task Space Regions: A framework for pose-constrained manipulation planning
International Journal of Robotics Research
Randomized path planning on manifolds based on higher-dimensional continuation
International Journal of Robotics Research
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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.