ERI: Gesture2CAD: Multimodal AI for Gesture-Driven Parametric CAD Modeling — NSF Award to Chapman University (CA, $199,875)
This Engineering Research Initiation (ERI) award supports research that focuses on the development of a novel gesture-driven multimodal shape description system, Gesture2CAD, to enable immersive, explainable, and controllable human-AI collaborative design for generating high-quality parametric CAD models from natural h
| Award title | ERI: Gesture2CAD: Multimodal AI for Gesture-Driven Parametric CAD Modeling |
|---|---|
| Award ID | 2552514 |
| Awardee | Chapman University |
| City | ORANGE |
| State | CA |
| Amount obligated | $199,875 |
| Principal investigator | Di Qi |
| Program | EDSE-Engineering Design and Sy |
| Start date | 06/01/2026 |
| Abstract | This Engineering Research Initiation (ERI) award supports research that focuses on the development of a novel gesture-driven multimodal shape description system, Gesture2CAD, to enable immersive, explainable, and controllable human-AI collaborative design for generating high-quality parametric CAD models from natural hand gesture input. As manufacturing transitions toward a human-centric Industry 5.0, new forms of interaction are required to empower workforce creativity and relieve them from rep |
| Source | NSF Awards |
$799/mo
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