Human movement learning with dynamic movement primitives combined with mixture models

摘要

The proposed research is to provide a probabilistic approach to learn human movements.Dynamical Movement Primitives (DMP) have been extensively used in robotics in order to learn humanmotions [1]. The DMP modulates a virtual spring with a learned non-linear force profile /(x), perturbingthe system to make it follow a desired trajectory.