2 papers
cs.RO2026
Dex-X: Learning Visual-Tactile Dexterous Manipulation From Human Videos with Simulated Interaction
Ruoqu Chen, Feixiang Ruan, Liu Cao +9
Human videos are an abundant source of dexterous manipulation behaviors, but they lack tactile information that is crucial for contact-rich interaction. This raises a fundamental q…
cs.RO2026
R2S-Eval: Robot Evaluation with Real-to-Sim Calibration via Vision-Language Models
Yidi Wang, Feixiang Ruan, Ruoqu Chen +4
Evaluating robot manipulation policies is becoming increasingly important as generalist models, particularly vision-language-action (VLA) models, are deployed on physical robots. H…