1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Pose Anything Anywhere:Model-free Object Poses from Arbitrary References
Hongli Xu, Jiaqi Hu, Junwen Huang +5
Estimating the 6D pose of unseen objects is a fundamental yet challenging problem for open-world robotics and embodied perception. Model-based methods are accurate but depend on CA…
cs.RO2026
FUNCanon: Learning Pose-Aware Action Primitives via Functional Object Canonicalization for Generalizable Robotic Manipulation
Hongli Xu, Lei Zhang, Xiaoyue Hu +7
General-purpose robotic skills from end-to-end demonstrations often leads to task-specific policies that fail to generalize beyond the training distribution. Therefore, we introduc…
cs.RO2026★ 1 cited
ClearDepth: Enhanced Stereo Perception of Transparent Objects for Robotic Manipulation
Kaixin Bai, Huajian Zeng, Lei Zhang +4
Transparent object depth perception poses a challenge in everyday life and logistics, primarily due to the inability of standard 3D sensors to accurately capture depth on transpare…