arXiv:2606.30429v1 Announce Type: new Abstract: Text-to-3D systems can now synthesize a mechanical part from a single sentence, yet the result is a shape to render, not a design to edit. We present Arko-T, a 4B-parameter text-to-design model that maps natural-language intent directly into executable, parametric CAD programs. Rather than optimizing for code executability alone, Arko-T aligns every stage of the pipeline to a formal notion of design state, so that data curation, code normalization, and execution-grounded supervision all work to preserve the features, parameters, and construction
Advances in foundation models are enabling more sophisticated and domain-specific applications, moving beyond general text or image generation to highly structured outputs like executable code.
This development allows for direct, editable digital design from natural language, bridging the gap between conceptualization and practical engineering and manufacturing faster than ever before.
Traditional CAD software, once requiring expert manual input, can now be directly driven by natural language, translating intent into parametric, executable designs.
- · Engineering software companies
- · Product design and manufacturing sectors
- · Industrial automation
- · AI model developers
- · Low-skilled CAD drafters
- · Commodity product design agencies
Engineers and designers can rapidly prototype and iterate on complex mechanical parts using natural language commands.
The barrier to entry for highly specialized design and manufacturing will decrease, leading to an explosion of custom parts and localized production.
It could enable a new paradigm of 'design as code' where physical objects are version-controlled and parametrically built from human-readable specifications, potentially redefining supply chains.
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Read at arXiv cs.LG