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Dong-Zhou Cheng

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Preprint Sep 2026

In-Context Robot Learning with VLM Agents

Enabling robots to adapt to unfamiliar environments as readily as humans remains a moonshot goal of embodied AI. No finite collection of demonstrations can cover every task and situation a robot will encounter, making the ability to learn from context at deployment essential for generalization. Such in-context learning...

Dong-Zhou Cheng, Taoran Yi, Ye Fang et al. · 3 citations · ⚡1
Preprint Aug 2026

Robust Bimanual Vision-Language-Action Models via Embarrassingly Simple Modality Masking

The Modality Masking Mechanism (M3), an embarrassingly simple, training-only strategy that requires no architectural changes or large-scale robot pretraining, is introduced to improve robustness of query-based VLA policies for bimanual manipulation.

Dong-Zhou Cheng, Ziang Li, Yixiao Zhou et al. · 1 citation

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