arXiv:2607.05123v1 Announce Type: new Abstract: Recent advances in large language models and programmatic CAD have significantly improved Text-to-CAD generation for individual parts. However, production-ready mechanical assembly generation remains largely unsolved. Unlike single-part modeling, assemblies require coordinated reasoning over multiple components, functional interfaces, assembly relations, engineering principles, and physical consistency. Consequently, directly generating executable CAD code is insufficient for constructing mechanically valid and reusable assemblies. We present Ass
Advances in large language models (LLMs) and programmatic CAD have reached a point where applying them to complex multi-component assembly generation is the next logical frontier.
This breakthrough addresses a significant gap in Text-to-CAD, moving from individual parts to functional, production-ready assemblies, which is critical for industrial automation and product development.
The ability to generate complex, mechanically valid CAD assemblies directly from natural language will dramatically accelerate design cycles and reduce manual engineering effort for a wide range of industries.
- · Manufacturing sector
- · CAD software providers
- · Robotics and automation companies
- · Product design and engineering firms
- · Traditional manual CAD drafters
- · Companies slow to adopt AI-driven design tools
Engineers can rapidly prototype and iterate on complex mechanical designs, significantly shortening development timelines.
This will lead to increased automation in design-to-manufacture workflows and potentially enable highly customized, on-demand production at scale.
The democratization of complex mechanical design could empower smaller teams or even individuals to create sophisticated hardware, fostering innovation outside traditional corporate structures.
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Read at arXiv cs.AI