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, ...

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, ...

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.

Movement Primitives with Multiple Phase Parameters 2016 Conference Paper ei Contact Us Max Planck Institute for Intelligent Systems

In this paper, we proposed probabilistic movement primitives (ProMPs), a widely-used approach in robot skill learning, to model human motions.

Movement primitives are white-box models for movement generation and allow to control several aspects of the movement. There are types of dynamical movement ...

Dec 5, 2013 · Dynamic movement primitives part 2: Controlling end-effector trajectories. The dynamic movement primitive (DMP) framework was designed for ...

Movement primitives (MPs) (Schaal et al., 2005) have been extensively studied in robotics to model arbitrarily complex motor skills from both robots and humans ...