Haoran Yuan
Haoran Yuan is a graduate student in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, co-advised by Ismini Lourentzau and Katie Driggs-Campbell. He is the project lead and first author of VTAM (Video-Tactile-Action Models), a multimodal world modeling framework that integrates tactile perception into video-action models for contact-rich robotic manipulation. He is also a research intern at Berkeley Artificial Intelligence Research, working on dexterous manipulation and world action models. His research focuses on multimodal representation learning and robotics.
“Haoran Yuan — UIUC, project lead. First author and architect of the continual vision-to-touch learning strategy. Also authored VTAM, the predecessor work cited as [32]”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.