Riccardo Burlizzi

Extending extrapolation capabilities of probabilistic motion models learned from human demonstrations using shape-preserving virtual demonstrations

Learning from Demonstration (LfD) requires methodologies able to generalize tasks in new situations. This paper studies the use of virtual demonstrations to extend the extrapolation capabilities of probabilistic motion models such as the traPPCA method. Similarly to other LfD methods, traPPCA is abl…