Newest papers

Can It Actually Work? Synthesizing Functional CAD Mechanisms

Wenqian Zhang, Yangyi Huang, Zigeng Xu, Weiyang Liu, Zhen Liu · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.26861 · cited by 0 works (OpenAlex) · open-access PDF

Chinese

虽然LLM代理人可以生成可视化CAD组合,但这些设计往往无法实现其预期的物理功能。我们研究功能CAD设计,一个设置,在那里代理人解释未规定的请求,以构建和迭代修订在物理模拟中满足功能要求的机制。验证这些要求是不利的:不同的候选机制可以通过完全不同的组件,控制和操作序列实现相同的功能。为了弥合这种差距,我们建议FunCAD-Harness,一个框架,将抽象要求转化为候选人特定的物理测试,并使用模拟反馈来指导设计修订。为了系统地评估这种能力,我们引入FunCADBench,一个基准涵盖46个家庭的机制,具有相互依赖和多步操作。跨界代理人实验显示Fun

Machine translation (Meta M2M100); the English original follows.

Abstract

While LLM agents can generate visually plausible CAD assemblies, these designs often fail to fulfill their intended physical functions. We study functional CAD design, a setting where agents interpret underspecified requests to construct and iteratively revise mechanisms that satisfy functional requirements in physical simulation. Verifying these requirements is nontrivial: different candidate mechanisms may realize the same function through entirely different components, controls, and operating sequences. To bridge this gap, we propose FunCAD-Harness, a framework that translates abstract requirements into candidate-specific physical tests and uses simulation feedback to guide design revisions. To systematically evaluate this capability, we introduce FunCADBench, a benchmark spanning 46 mechanism families with interdependent and multi-step operations. Experiments across frontier LLM agents show that FunCAD-Harness exposes subtle mechanical failures invisible to visual inspection, substantially improving functional success rates over standard simulation-augmented baselines. Ultimately, our work marks a step toward CAD agents capable of translating human intent into working mechanisms.

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Topics: CAD, Computer science, Construct (python library), Function (biology), Mechanism (biology), Bridge (graph theory)

Sources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange