action representation 1out-of-distribution generalization 1robot learning 1semantic anchoring 1vision-language models 1
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cs.RO2026
Semantic Anchoring for Robotic Action Representations
Yuan Xu, Youheng Shi, Chengyang Li +2
The paper studies how fine‑tuning vision‑language‑action models for robots can degrade the semantic structure of their action representations, and proposes a plug‑and‑play anchorin…
cs.RO2026
GazeVLA: Learning Human Intention for Robotic Manipulation
Chengyang Li, Kaiyi Xiong, Yuan Xu +3
Embodied foundation models have achieved significant breakthroughs in robotic manipulation, yet they still depend heavily on large-scale robot demonstrations. Although recent works…