Design Knowledge

Design knowledge research focuses on understanding and optimizing the design process across various domains, aiming to improve efficiency, performance, and the overall quality of designs. Current research explores the application of large language models (LLMs), multi-agent systems, and surrogate modeling techniques to automate and enhance design tasks, including code generation, material selection, and even the co-optimization of robot design and control. These advancements hold significant potential for improving the efficiency and effectiveness of design in engineering, manufacturing, and other fields by leveraging AI to address complex design challenges and generate more robust and optimized solutions.