Deep Probabilistic Movement Primitives with a Bayesian Aggregator
Michael Przystupa,Faezeh Haghverd,Martin Jagersand,Samuele Tosatto,Michael Przystupa,Faezeh Haghverd,Martin Jagersand,Samuele Tosatto
Movement primitives are trainable parametric models that reproduce robotic movements starting from a limited set of demonstrations. Previous works proposed simple linear models that exhibited high sample efficiency and generalization power by allowing temporal modulation of move-ments (reproducing movements faster or slower), blending (merging two movements into one), via-point conditioning (const...
