MIT researchers have developed a generative AI system called MechStyle that allows users to personalise 3D-printed objects while ensuring they remain durable and functional.
The tool combines AI-driven design with physics simulations, allowing everyday items such as vases, hooks, and glasses to be customised without compromising structural integrity.
Users can upload their own 3D models or select presets and use text or image prompts to guide the design. MechStyle modifies the geometry and simulates stress points to maintain strength, enabling unique, tactile, and usable creations.
The system can personalise aesthetics while preserving functionality, even for assistive devices like finger splints and utensil grips.
To optimise performance, MechStyle employs an adaptive scheduling strategy that checks only the critical areas of a model, reducing computation time. Early tests of 30 objects, including designs resembling bricks, cacti, and stones, showed up to 100% structural viability.
The tool offers a freestyle mode for rapid experimentation and a careful mode for analysing the effects of modifications. Researchers plan to expand MechStyle to generate entirely new 3D models from scratch and improve faulty designs.
The project reflects collaboration with Google, Stability AI, and Northeastern University and was presented at the ACM Symposium on Computational Fabrication. Its potential extends to personal items, home and office décor, and even commercial prototypes for retail products.
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