Raymond Yu — accepted AI-conference papers

2025

DRAWER: Digital Reconstruction and Articulation With Environment Realism

Hongchi Xia, Entong Su, Marius Memmel, Arhan Jain, Raymond Yu, Numfor Mbiziwo-Tiapo +4

CVPR 2025poster

Creating virtual digital replicas from real-world data unlocks significant potential across domains like gaming and robotics. In this paper, we present DRAWER, a novel framework that converts a video of a static indoor scene into a photorealistic and interactive digital environment. Our approach cen…

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2025

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Chuning Zhu, Raymond Yu, Siyuan Feng, Benjamin Burchfiel, Paarth Shah, Abhishek Gupta

RSS 2025poster

Imitation learning has emerged as a promising approach towards building generalist robots. However, the reliance on high-quality expert demonstrations poses a challenge in scaling imitation learning for large-scale robot foundation models. On the other hand, large amounts of video data depicting a w…

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