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Yefei Chen

2 accepted papers

2026

Open-World Object Manipulation with Vision-Language-Action Models Via Synthetic Multi-Modal Data

ICRA 2026poster

Imitation learning has proven to be highly effective in teaching robots dexterous manipulation skills. However, it typically relies on large amounts of robot data, which limits its scalability and applicability in dynamic, real-world environments. One key challenge in this context is object generali…

Cited by 0Scholar
2026

Scaling Real-World Robot Policy Evaluation via Discrete Diffusion World Model

ICML 2026spotlight

Evaluating generalist robot manipulation policies is costly and difficult to scale in the real world. While emerging world models (e.g., WorldEval, Ctrl-World) offer a promising alternative, the reliability of such evaluation remains a critical bottleneck. Specifically, their visual predictions can …

Cited by 0SourceScholar