3 papers
cs.AI2026
Memory-Augmented Reinforcement Learning Agent for CAD Generation
Yin Xiaolong, Liu Yu, Shen Jiahang +4
Automatic generation of computer-aided design (CAD) models is a core technology for enabling intelligence in advanced manufacturing. Existing generation methods based on large lang…
cs.AI2025
CADDesigner: Conceptual CAD Model Generation with a General-Purpose Agent
Fengxiao Fan, Jingzhe Ni, Xiaolong Yin +6
Computer-Aided Design (CAD) is widely used for conceptual design and parametric 3D modeling, but typically requires a high level of expertise from designers. To lower the entry bar…
cs.LG2025
RLCAD: Reinforcement Learning Training Gym for Revolution Involved CAD Command Sequence Generation
Xiaolong Yin, Xingyu Lu, Jiahang Shen +5
A CAD command sequence is a typical parametric design paradigm in 3D CAD systems where a model is constructed by overlaying 2D sketches with operations such as extrusion, revolutio…