We present a movement primitive formulation that can be used to non-uniformly adapt the speed of execution of a movement in order to satisfy a given constraint.

Movement Primitives with Multiple Phase Parameters. Marco Ewerton1, Guilherme ... movement primitive formulation with multiple phase param- eters ...

Abstract—Movement primitives are concise movement rep- resentations that can be learned from human demonstrations, support generalization to novel ...

We present a movement primitive formulation that can be used to non-uniformly adapt the speed of execution of a movement in order to satisfy a given constraint, ...

Author: Ewerton, M. et al.; Genre: Conference Paper; Issued: 2016; Keywords: Abt. Schölkopf; Title: Movement primitives with multiple phase parameters.

May 1, 2016 · We present a movement primitive formulation that can be used to non-uniformly adapt the speed of execution of a movement in order to satisfy a ...

Nov 15, 2022 · Abstract: Probabilistic Movement Primitives (ProMPs) are a widely used representation of movements for human-robot interaction.

Abstract: Probabilistic Movement Primitives (ProMPs) are a widely used representation of movements for human-robot interaction. They also facilitate the ...

• Introduce phase variable. • Simple first-order system ... Probabilistic Movement Primitives, for Coordination of Multiple Human-Robot Collaborative Tasks,.

This package aims to building a movement primitives toolkit which could be combined with modern imitation learning and reinforcement learning algorithm.