Adaptive synthesis of dynamically feasible full-body movements for the humanoid robot HRP-2 by flexible combination of learned dynamic movement primitivesReport as inadecuate




Adaptive synthesis of dynamically feasible full-body movements for the humanoid robot HRP-2 by flexible combination of learned dynamic movement primitives - Download this document for free, or read online. Document in PDF available to download.

1 Department of Cognitive Neuroscience Tubingen 2 LAAS-GEPETTO - Équipe Mouvement des Systèmes Anthropomorphes LAAS - Laboratoire d-analyse et d-architecture des systèmes Toulouse

Abstract : Skilled human full-body movements are often planned in a highly predictive manner. For example, during walking while reaching towards a goal object results in steps and body postures are adapted to the goal position already multiple steps before the goal contact. The realization of such highly predictive behaviors for humanoid robots is a challenge because standard approaches, such as optimal control, result in computation times that are prohibitive for the predictive control of complex coordinated full-body movements over multiple steps. We devised a new architecture that combines the online-planning of complex coordinated full-body movements, based on the flexible combination of learned dynamic movement primitives, with a Walking Pattern Generator WPG, based on Model Predictive Control MPC, which generates dynamically feasible locomotion of the humanoid robot HRP-2. A dynamic filter corrects the Zero Moment Point ZMP trajectories in order to guarantee the dynamic feasibility of the executed behavior taking into account the upper-body movements, at the same time ensuring an accurate approximation of the planned motion trajectories. We demonstrate the high flexibility of the chosen movement planning approach, and the accuracy and feasibility of the generated motion. In addition, we show that a na¨ıvena¨ıve approach, which generates adaptive motion by using machine learning methods by the interpolation between feasible training motion examples fails to guarantee the stability and dynamic feasibility of the generated behaviors.

Keywords : motor coordination movement primitives navigation walking pattern generator goal-directed movements robotics action sequences





Author: Albert Mukovskiy - Christian Vassallo - Maximilien Naveau - Olivier Stasse - Philippe Souères - Martin Giese -

Source: https://hal.archives-ouvertes.fr/



DOWNLOAD PDF




Related documents