3 papers
cs.RO2026
HT-Bench: Benchmarking and Learning Dexterous Full-Hand Tactile Representations with Egocentric Vision
Yuzhe Huang, Jiaping Wu, Jiaming Jiang +8
Establishing a universal benchmark for tactile representation learning in robotic manipulation remains challenging due to the diversity of tactile sensor designs, data formats, and…
cs.RO2026
UniDexTok: A Unified Dexterous Hand Tokenizer from Real Data
Dong Fang, Youjun Wu, Yuanxin Zhong +4
Dexterous hands are essential for fine-grained manipulation, but their hardware designs vary substantially across embodiments. Differences in kinematics, joint definitions, and deg…
cs.CV2025
Enhancing End-to-End Autonomous Driving with Risk Semantic Distillaion from VLM
Jack Qin, Zhitao Wang, Yinan Zheng +4
The autonomous driving (AD) system has exhibited remarkable performance in complex driving scenarios. However, generalization is still a key limitation for the current system, whic…