Yoonkyo Jung

Abstracting human demonstrations into scene graphs unlocks zero-shot generalization for dexterous manipulation policies, achieving 71% better performance on unseen tasks than imitation-heavy methods.

3D traces can serve as a powerful, scalable representation for robot learning, outperforming traditional action-based models without requiring specific action labels.