Sunghae Kim

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.

Encoding dynamics directly into visual representations via DynaFLIP yields up to 22.5% better robot manipulation performance in out-of-distribution scenarios.