Learning from demonstration with model-based Gaussian process

Noémie Jaquier, David Ginsbourger, Sylvain Calinon

Abstract: In learning from demonstrations, it is often desirable to adapt the behavior of the robot as a function of the variability retrieved from human demonstrations and the (un)certainty encoded in diffe...