3 papers
cs.RO2026
FoLD: Force-Informed Learning for Dexterous Articulated Object Manipulation
Haowei Shen, Tingai Li, Yumeng Liu +6
Transferring human demonstrations to dexterous robots remains challenging because differences in hand morphology and contact dynamics often cause retargeted motions to fail at prod…
cs.CV2025
MASH: Masked Anchored SpHerical Distances for 3D Shape Representation and Generation
Changhao Li, Yu Xin, Xiaowei Zhou +4
We introduce Masked Anchored SpHerical Distances (MASH), a novel multi-view and parametrized representation of 3D shapes. Inspired by multi-view geometry and motivated by the impor…
cs.CV2025
ArticulatedGS: Self-supervised Digital Twin Modeling of Articulated Objects using 3D Gaussian Splatting
Junfu Guo, Yu Xin, Gaoyi Liu +3
We tackle the challenge of concurrent reconstruction at the part level with the RGB appearance and estimation of motion parameters for building digital twins of articulated objects…