用文字指令自动生成符合实验规范的安全实验室3D布局
LabBuilder: Protocol-Grounded 3D Layout Generation for Interactable and Safe Laboratory
- 基于文本指令生成实验室布局，融合化学安全与导航约束
- 在几何、化学安全和可操作性上均优于现有方法
- 适合自动化实验室设计与科研场景模拟的开发者
自动化实验室有望加速科学发现，但其部署受限于安全可执行环境的设计难度。尽管基于模拟器的设计具备可扩展性，现有3D场景生成方法主要针对家庭场景，侧重视觉合理性，忽视了实验流程约束与布局级安全要求。我们提出LabBuilder，一个端到端系统，可从简短文本描述生成并验证3D实验室布局。系统包含三个紧密耦合组件：LabForge首先构建包含标注资产与化学知识的元数据集，并将自然语言描述转化为结构化实验协议；基于这些协议，LabGen通过迭代式约束感知优化策略生成实验室布局；最后，LabTouchstone作为统一评估基准对结果进行验证。大量实验表明，LabBuilder显著优于现有最先进方法，生成的实验室环境在几何、化学安全及可操作性方面均表现真实有效。
原文摘要 · Abstract (English)
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.
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