Jonghun Shin

Learned representations on a hypersphere unlock closed-form planning and adaptive waypoint generation, enabling complex manipulation from scratch where baselines fail.

Bridging semantics and motion dynamics, BooST achieves superior skill transfer and adaptation in robotics, outperforming traditional methods.

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