Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch
Eddy Hudson,Garrett Warnell,Faraz Torabi,Peter Stone,Eddy Hudson,Garrett Warnell,Faraz Torabi,Peter Stone
Learning from demonstrations in the wild (e.g. YouTube videos) is a tantalizing goal in imitation learning. However, for this goal to be achieved, imitation learning algorithms must deal with the fact that the demonstrators and learners may have bodies that differ from one another. This condition — “embodiment mismatch” — is ignored by many recent imitation learning algorithms. Our proposed imitat...
