Learning Physics of Articulated Objects From RGBD Observation
Reconstructing a geometrically accurate, articulation-aware, and physically meaningful digital twin from RGB-D observations of articulated objects.
This ongoing project studies how to reconstruct articulated object digital twins from RGB-D observations. The target representation should be geometrically accurate, articulation-aware, and physically meaningful in simulation.