Jonghoon Lee
Jonghoon Lee is an MS student at the Kim Jaechul Graduate School of AI at KAIST and an undergraduate student in Computer Science and Engineering at Korea University. He is best known as a co-author of Pose6DAug, a physically plausible multi-view object swapping framework for robot data augmentation that improves vision-language-action policy generalization to novel objects. He has also published work on LLM-based tutoring and coding education at scale.
“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→AI-extracted from podcast / newsletter / paper summaries. May contain errors.