Robotics
ReliCAD: From Uncertain LLM Generation to Reliable Parametric CAD Modeling
Bridging the gap between probabilistic AI generation and deterministic engineering requirements.
Large language models have shown considerable potential for natural-language-driven parametric CAD modeling. However, a fundamental contradiction exists between their probabilistic generation and the deterministic requirements of CAD modeling, resulting in limitations in reliabil...
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ArXiv CS.RO
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2 min
ArXiv CS.RO
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ReliCAD bridges the gap between the fluid, probabilistic nature of LLMs and the rigid, deterministic constraints required for engineering-grade CAD design. By introducing a formal verification loop, it ensures that AI-generated code is both syntactically correct and physically viable for manufacturing.
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