activity
20222026
most citedCAGE: Causal Attention Enables Data-Efficient Generalizable Robotic Manipulation

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Rethinking Visual Embodiment Dependence in Visuomotor Policies

Hongjie Fang, Yuxuan Lu, Chenxi Wang +8

Visuomotor policies observe both the task scene and the acting embodiment, allowing embodiment-specific visual cues to influence action prediction. We study this phenomenon as visu…

cs.RO2026

AnyDexRT: Calibration-Free Dexterous Hand Retargeting with Few-Shot Human Guidance

Chenxi Wang, Ying Feng, Hongjie Fang +4

Teleoperation is a key interface for controlling dexterous robotic hands and collecting demonstrations for imitation learning. Its effectiveness largely depends on kinematic retarg…

cs.RO2025

AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons

Hongjie Fang, Chenxi Wang, Yiming Wang +11

Scaling up robotic imitation learning for real-world applications requires efficient and scalable demonstration collection methods. While teleoperation is effective, it depends on…

cs.RO2024★ 2 cited

CAGE: Causal Attention Enables Data-Efficient Generalizable Robotic Manipulation

Shangning Xia, Hongjie Fang, Cewu Lu +1

Generalization in robotic manipulation remains a critical challenge, particularly when scaling to new environments with limited demonstrations. This paper introduces CAGE, a novel…

physics.ins-det2022★ 2 cited

Optimization of convolutional neural networks for background suppression in the PandaX-III experiment

Shangning Xia, Suizhi Huang, Kexin Xu +4

The tracks recorded by a gaseous detector provide a possibility for charged particle identification. For searching the neutrinoless double beta decay events of 136Xe in the PandaX-…