Saved in:
Bibliographic Details
Main Authors: Cao, Jianbao, Zhao, Zhangrui, Feng, Bohan, Hu, Zixuan, Li, Rui, Wan, Haiyuan, Li, Chenxi, Li, Jingyuan, Cai, Wenzhe, Bai, Lei, Ouyang, Wanli, Duan, Lingyu, Huang, Di, Pan, Minting, Zhang, Sha, Ma, Xinzhu, Tang, Shixiang, Zhou, Dongzhan
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2605.02288
Tags: Add Tag
No Tags, Be the first to tag this record!
Table of Contents:
  • 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 protocol grounding and layout-level 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 realistic and valid under modeled geometric, chemical-safety, and navigation constraints.