59 citations · 147 across the 8 of their papers we have counts for
8 papers
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…
An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators
Lara Zlokapa, Yiyue Luo, Jie Xu +4
Traditional robotic manipulator design methods require extensive, time-consuming, and manual trial and error to produce a viable design. During this process, engineers often spend…
Closed-Loop Control of Direct Ink Writing via Reinforcement Learning
Michal Piovarci, Michael Foshey, Jie Xu +6
Enabling additive manufacturing to employ a wide range of novel, functional materials can be a major boost to this technology. However, making such materials printable requires pai…
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing
Qiang Zhang, Yunzhu Li, Yiyue Luo +6
Tactile sensing is critical for humans to perform everyday tasks. While significant progress has been made in analyzing object grasping from vision, it remains unclear how we can u…
An End-to-End Differentiable Framework for Contact-Aware Robot Design
Jie Xu, Tao Chen, Lara Zlokapa +4
The current dominant paradigm for robotic manipulation involves two separate stages: manipulator design and control. Because the robot's morphology and how it can be controlled are…
Accelerated Discovery of 3D Printing Materials Using Data-Driven Multi-Objective Optimization
Timothy Erps, Michael Foshey, Mina Konaković Luković +6
Additive manufacturing has become one of the forefront technologies in fabrication, enabling new products impossible to manufacture before. Although many materials exist for additi…
Polygrammar: Grammar for Digital Polymer Representation and Generation
Minghao Guo, Wan Shou, Liane Makatura +3
Polymers are widely-studied materials with diverse properties and applications determined by different molecular structures. It is essential to represent these structures clearly a…
AutoOED: Automated Optimal Experiment Design Platform
Yunsheng Tian, Mina Konaković Luković, Timothy Erps +2
We present AutoOED, an Optimal Experiment Design platform powered with automated machine learning to accelerate the discovery of optimal solutions. The platform solves multi-object…