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Author

Chen Yang

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Preprint Oct 2026

SimpleTouch: Can Vision-Language-Action Models Master Contact-Rich Manipulation Without Tactile Policy Pretraining?

Tactile sensing provides essential contact information for robotic manipulation, yet incorporating it into pretrained vision-language-action (VLA) models remains challenging. A common concern is that simply introducing touch during task-specific fine-tuning may fail to bridge the cross-modal gap, yielding limited gains...

Chen Yang, Lin-Zhe Shi, Chang Jie Wu et al. · 0 citations
#machine learning Preprint Sep 2026

Learning Expressive and Compositional Motion Representation via Spectral Skills

Robotic foundation models offer a promising path toward general-purpose humanoid robot control, often through hierarchical architectures. However, their effectiveness depends on the command interface between the planner and the controller, which must support accurate execution while remaining easy to predict, and ideal...

Fei-Yang Wu, Chen-Xiao Gao, Chen Yang et al. · 0 citations
#artificial intelligence Preprint Jul 2026

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models

Mask2Real-WM is presented, a two-stage action-conditioned world model for dexterous manipulation that decouples pixel prediction into a dynamics model and a rendering model that shows that mask conditioning and simulation pretraining are both required for per-DoF action controllability across all 23 degrees of freedom.

Riccardo Feingold, Davide Liconti, Chenyu Yang et al. · 1 citation

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