2 citations · 2 across the 6 of their papers we have counts for
6 papers
Critical Interval MSE: Toward Reliable Offline Validation for Robot Manipulation Policies
Haoxu Huang, Tongsam Zheng, Yifan Chen +2
Real-world evaluation is the gold standard for robot manipulation policies because it tests them against the physical conditions and deployment challenges they are ultimately desig…
EasyInsert: A Data-Efficient and Generalizable Insertion Policy
Guanghe Li, Junming Zhao, Shengjie Wang +1
Robotic insertion is a highly challenging task that requires exceptional precision in cluttered environments. Existing methods often have poor generalization capabilities. They typ…
SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation
Shengjie Wang, Jiacheng You, Yihang Hu +2
Real-world tasks such as garment manipulation and table rearrangement demand robots to perform generalizable, highly precise, and long-horizon actions. Although imitation learning…
CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models
Haoxu Huang, Fanqi Lin, Yingdong Hu +2
Foundation models pre-trained on web-scale data are shown to encapsulate extensive world knowledge beneficial for robotic manipulation in the form of task planning. However, the ac…
SpaceOctopus: An Octopus-inspired Motion Planning Framework for Multi-arm Space Robot
Wenbo Zhao, Shengjie Wang, Yixuan Fan +2
Space robots have played a critical role in autonomous maintenance and space junk removal. Multi-arm space robots can efficiently complete the target capture and base reorientation…
DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands
Fengbo Lan, Shengjie Wang, Yunzhe Zhang +5
Achieving human-like dexterous manipulation remains a crucial area of research in robotics. Current research focuses on improving the success rate of pick-and-place tasks. Compared…