activity
20232026
most citedREGNet V2: End-to-End REgion-based Grasp Detection Network for Grippers of Different Sizes in Point Clouds

1 citations · 2 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.RO2025

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…

cs.RO2025

PRISM: Projection-based Reward Integration for Scene-Aware Real-to-Sim-to-Real Transfer with Few Demonstrations

Haowen Sun, Han Wang, Chengzhong Ma +4

Learning from few demonstrations to develop policies robust to variations in robot initial positions and object poses is a problem of significant practical interest in robotics. Co…

cs.RO2024★ 1 cited

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…

cs.RO2024★ 1 cited

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…

cs.RO2023

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…