34 citations · 58 across the 7 of their papers we have counts for
6 papers · 1 filter
Bridging Simulation and Reality: Cross-Domain Transfer with Semantic 2D Gaussian Splatting
Jian Tang, Pu Pang, Haowen Sun +4
Cross-domain transfer in robotic manipulation remains a longstanding challenge due to the significant domain gap between simulated and real-world environments. Existing methods suc…
GES-UniGrasp: A Two-Stage Dexterous Grasping Strategy With Geometry-Based Expert Selection
Fangting Xu, Jilin Zhu, Xiaoming Gu +1
Robust and human-like dexterous grasping of general objects is a critical capability for advancing intelligent robotic manipulation in real-world scenarios. However, existing reinf…
REGNet V2: End-to-End REgion-based Grasp Detection Network for Grippers of Different Sizes in Point Clouds
Binglei Zhao, Han Wang, Jian Tang +5
Grasping has been a crucial but challenging problem in robotics for many years. One of the most important challenges is how to make grasping generalizable and robust to novel objec…
DexDiff: Towards Extrinsic Dexterity Manipulation of Ungraspable Objects in Unrestricted Environments
Chengzhong Ma, Houxue Yang, Hanbo Zhang +5
Grasping large and flat objects (e.g. a book or a pan) is often regarded as an ungraspable task, which poses significant challenges due to the unreachable grasping poses. Previous…
Prioritized Planning for Target-Oriented Manipulation via Hierarchical Stacking Relationship Prediction
Zewen Wu, Jian Tang, Xingyu Chen +3
In scenarios involving the grasping of multiple targets, the learning of stacking relationships between objects is fundamental for robots to execute safely and efficiently. However…
Robotic Grasping from Classical to Modern: A Survey
Hanbo Zhang, Jian Tang, Shiguang Sun +1
Robotic Grasping has always been an active topic in robotics since grasping is one of the fundamental but most challenging skills of robots. It demands the coordination of robotic…