H. Jin Kim

Monocular camera localization within dense LiDAR maps no longer requires complex dual-encoder architectures: converting both inputs to unified depth representations lets a single vision foundation model outperform specialized cross-modal baselines under extreme environmental shifts.

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

Trajectory predictions that respect lane topology can significantly improve the reliability of autonomous driving systems in complex scenarios.

Robots equipped with ObsGraph can achieve higher success rates in complex environments by dynamically adapting their exploration strategies based on structured scene representations.