2024
MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions From Demonstrations
Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
RA-L 2024
Shared dynamics models are important for capturing the complexity and variability inherent in Human-Robot Interaction (HRI). Therefore, learning such shared dynamics models can enhance coordination and adaptability to enable successful reactive interactions with a human partner. In this work, we pro