3 papers
cs.RO2026
Equivariant Visual-Tactile Diffusion Policy for Contact-Rich Manipulation
Lik Hang Kenny Wong, Yiyao Ma, Xiu-Shen Wei +5
Imitation learning for contact-rich manipulation requires high-quality expert data that is expensive to obtain. This makes learning a sample-efficient policy a key issue. To addres…
cs.CV2026
Geometry-Guided Modeling of Foundation Features Enables Generalizable Object Shape Deformation Learning
Yiyao Ma, Kai Chen, Zhongxiang Zhou +5
Monocular 3D shape recovery is fundamental to geometric understanding, yet achieving robust generalization across arbitrary viewpoints and unseen object categories remains a signif…
cs.CV2025
Preserving Topological and Geometric Embeddings for Point Cloud Recovery
Kaiyue Zhou, Zelong Tan, Hongxiao Wang +2
Recovering point clouds involves the sequential process of sampling and restoration, yet existing methods struggle to effectively leverage both topological and geometric attributes…