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Author

Zecui Zeng

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Preprint Aug 2026

Dream2Reward: Transition-Alignment Reward Models from Positive Demonstrations for Robotic Manipulation

This work introduces Dream2Reward, which learns a language-conditioned successful latent transition field from positive demonstrations that provides stronger success-failure separation and more informative feedback on low-quality behavior than progress-based alternatives.

Hao-Yu Zhang, Ze-Cui Zeng, Bin Wang et al. · 3 citations
Dec 2025

Embodied Tree of Thoughts: Deliberate Manipulation Planning With Embodied World Model

Embodied Tree of Thoughts (EToT), a novel Real2Sim2Real planning framework that leverages a physics-based interactive digital twin as an embodied world model, is validated on a suite of short- and long-horizon manipulation tasks, where it consistently outperforms baselines by effectively predicting physical dynamics an...

Wenjiang Xu, Mingkan Zhang, Cindy Wang et al. · 2 citations

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