We propose an approach that is capable of learning multiple orientation trajectories and adapting learned orientation skills to new situations (e.g., via-points and end-points), where both orientation and angular velocity are considered. In addition, we extend our approach to the learning of quaternions with angular acceleration or jerk constraints as well as the learning of quaternions associated with high-dimensional inputs.

Overview

Experiments