Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors

Dynamical movement primitives is presented, a line of research for modeling attractor behaviors of autonomous nonlinear dynamical systems with the help of statistical learning techniques, and its properties are evaluated in motor control and robotics.