Author

Dong-Zhou Cheng

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Preprint Sep 2026

In-Context Robot Learning with VLM Agents

GPT-Policy is introduced, a general-agent framework for in-context robot learning that integrates a context compiler that preserves task-relevant visual transitions, a VLM that proposes robot-tool actions, and a constrained controller that verifies and executes each action and reports its outcome.

Dong-Zhou Cheng, Taoran Yi, Ye Fang et al. · 15 citations · ⚡4

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