Abstract:
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 human
motions [1]. The DMP modulates a virtual spring with a learned non-linear force profile /(x), perturbing
the system to make it follow a desired trajectory.