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ICML 2026PosterAccept (regular)

LabBuilder: Protocol-Grounded 3D Layout Generation for Interactable and Safe Laboratory

Jianbao Cao, zhangrui zhao, Bohan Feng, Zixuan Hu, Rui Li, Haiyuan Wan, Chenxi Li, jingyuan Li, Wenzhe Cai, LEI BAI, Wanli Ouyang, LINGYU DUAN, Di Huang, Minting Pan, Sha Zhang, Xinzhu Ma, SHIXIANG TANG, Dongzhan Zhou

Wuhan University · Shanghai Artificial Intelligence Laboratory · Northwest Polytechnical University Xi'an · Peking University · Harbin Institute of Technology · Tsinghua University · Shanghai Jiaotong University · Shanghai AI Laboratory · Shanghai AI Lab · Beihang University · Shanghai Jiao Tong University · The Chinese University of Hong Kong

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摘要

Automated laboratories hold the promise of accelerating scientific discovery, yet their deployment is bottlenecked by the difficulty of designing safe and executable environments. While simulator-based design offers scalability, existing 3D scene generation methods are primarily tailored for household settings, optimizing for visual plausibility while neglecting the rigorous functional semantics and safety constraints essential for scientific experimentation. We present LabBuilder, an end-to-end system that generates and verifies 3D laboratory layouts from concise textual specifications. It operates through three tightly coupled components: LabForge first curates a meta-dataset of annotated assets and chemical knowledge, translating natural language specifications into structured protocols; building on these protocols, LabGen synthesizes laboratory layouts via an iterative, constraint-aware optimization strategy; finally, LabTouchstone evaluates the resulting layouts as a unified benchmark. Extensive experiments demonstrate that LabBuilder significantly outperforms existing state-of-the-art methods, producing laboratory environments that are not only realistic but also functionally valid and safe for complex experimental workflows.