1 code implementation • 11 Apr 2024 • Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Hyunmin Cheong, Faez Ahmed
This research introduces DesignQA, a novel benchmark aimed at evaluating the proficiency of multimodal large language models (MLLMs) in comprehending and applying engineering requirements in technical documentation.
no code implementations • 4 Apr 2024 • Mohammadmehdi Ataei, Hyunmin Cheong, Daniele Grandi, Ye Wang, Nigel Morris, Alexander Tessier
Second, we show how our framework effectively mimics empathic lead user interviews, identifying a greater number of latent needs than conventional human interviews.
1 code implementation • 30 May 2023 • Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
Expert evaluations indicate that the LLM-generated solutions have higher average feasibility and usefulness while the crowdsourced solutions have more novelty.
1 code implementation • 25 Apr 2023 • Peter Meltzer, Joseph G. Lambourne, Daniele Grandi
In this work we propose that the natural language names designers use in Computer Aided Design (CAD) software are a valuable source of such knowledge, and that Large Language Models (LLMs) contain useful domain-specific information for working with this data as well as other CAD and engineering-related tasks.
1 code implementation • 26 Sep 2022 • Shijie Bian, Daniele Grandi, Kaveh Hassani, Elliot Sadler, Bodia Borijin, Axel Fernandes, Andrew Wang, Thomas Lu, Richard Otis, Nhut Ho, Bingbing Li
Successful material selection is critical in designing and manufacturing products for design automation.
2 code implementations • CVPR 2022 • Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik
Physical products are often complex assemblies combining a multitude of 3D parts modeled in computer-aided design (CAD) software.
no code implementations • 8 Jul 2021 • Vincenzo Ferrero, Kaveh Hassani, Daniele Grandi, Bryony DuPont
Function is defined as the ensemble of tasks that enable the product to complete the designed purpose.