Jinwoo Shin
Jinwoo Shin is an ICT Endowed Chair Professor at KAIST, jointly affiliated with the Kim Jaechul Graduate School of AI and the School of Electrical Engineering. He holds a Ph.D. in Mathematics from MIT and has received numerous awards including the ACM SIGMETRICS Rising Star Award and the George M. Sprowls Award for best MIT CS doctoral thesis. He serves as chief scientist at RLWRLD, a physical AI startup building robotics foundation models, where he leads the company's collaboration with KAIST. His research spans the algorithmic foundations of machine learning, including self-supervised learning, generative models, and deep reinforcement learning.
“The core achievement of this paper is a framework that recycles a robot's past successful actions to teach it how to handle new objects it has never seen before.”
Source→“By fine-tuning Vision-Language-Action (VLA) policies on this augmented data, they achieved a 16.5% relative to the state-of-the-art baseline on novel objects.”
Source→“RLDX-1 is a general-purpose robotic policy for dexterous manipulation with code and models released at rlwrld.ai/rldx-1 (Abstract/Title page)”
Source→“Listed as 'Research Leads' with KAIST affiliation (Title page)”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.