IEEE International Conference on Automation Science and Engineering (CASE 2026)

Jiabao presented their research at the IEEE International Conference on Automation Science and Engineering (CASE 2026) in Shenyang, China.

Our work explores how Large Language Models (LLMs) can enable more intuitive human–robot collaboration in manufacturing. In particular, we developed a framework that allows a human operator to use verbal guidance to teach a robot new assembly tasks, connecting natural-language instructions with executable robotic skills and trajectories.