arXiv:2606.31252v1 Announce Type: new Abstract: Large language models can write plausible CAD scripts, but reliable industrial CAD modeling requires more than syntactically valid code: every feature, placement, and assembly relation must be accepted by an exact geometric kernel while remaining editable as parametric boundary representation geometry. We present Embodied CAD, solver-grounded LLM agents for parametric B-Rep assembly modeling. Instead of generating a complete script in one pass, the agent iteratively selects actions from a stratified L0-L4 CAD skill library, resolves them into typ
The rapid advancement of large language models and their nascent application in complex interactive tasks like CAD scripting is driving the development of agentic systems capable of more reliable and integrated workflows.
This represents a significant step towards autonomous design and engineering, potentially collapsing traditional white-collar design workflows and accelerating product development cycles across industries.
The reliability and interactivity of AI in design software are dramatically improved, moving beyond single-pass script generation to iterative, solver-grounded agentic systems.
- · AI software developers
- · Manufacturing companies
- · Product design firms
- · Engineers
- · Entry-level CAD drafters
- · Traditional CAD software vendors (if slow to adapt)
- · Manual design bureaus
Engineers can rapidly prototype and iterate on complex designs with significantly less manual effort.
Accelerated product development cycles will lead to faster innovation and reduced time-to-market across various industries.
The integration of AI agents into physical manufacturing processes could enable entirely autonomous design-to-production workflows.
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Read at arXiv cs.AI