activity
20212023
most citedHow Can Large Language Models Help Humans in Design and Manufacturing?

29 citations · 57 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 29 cited

How Can Large Language Models Help Humans in Design and Manufacturing?

Liane Makatura, Michael Foshey, Bohan Wang +15

The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the…

cs.GR2023★ 1 cited

Zero-shot CAD Program Re-Parameterization for Interactive Manipulation

Milin Kodnongbua, Benjamin T. Jones, Maaz Bin Safeer Ahmad +2

Parametric CAD models encode entire families of shapes that should, in principle, be easy for designers to explore. However, in practice, parametric CAD models can be difficult to…

cs.GR2023★ 13 cited

Computational Design of Passive Grippers

Milin Kodnongbua, Ian Good Yu Lou, Jeffrey Lipton +1

This work proposes a novel generative design tool for passive grippers -- robot end effectors that have no additional actuation and instead leverage the existing degrees of freedom…

cs.GR2023★ 3 cited

B-rep Matching for Collaborating Across CAD Systems

Benjamin Jones, James Noeckel, Milin Kodnongbua +2

Large Computer-Aided Design (CAD) projects usually require collaboration across many different CAD systems as well as applications that interoperate with them for manufacturing, vi…

cs.GR2023

Neurosymbolic Models for Computer Graphics

Daniel Ritchie, Paul Guerrero, R. Kenny Jones +4

Procedural models (i.e. symbolic programs that output visual data) are a historically-popular method for representing graphics content: vegetation, buildings, textures, etc. They o…