Developed dynamic removal and static mapping modules for an autonomous quadruped robot system. 

Developed real-time alphabet and hazardous-sign perception modulels for autonomous mission execution in QRC.

Contributed to achieving the highest mission score among participating teams at QRC 2024.

Developed dynamic object removal and traversability mapping for navigation in crowded environments.

Developed deep learning-based 3D change detection and static map update frameworks for long-term environmental changes. 

Achieved 1st place for two consecutive years!

Developed long-term change detection methods for robust registration in dynamic environments. 

Led an autonomous off-road navigation project in unstructured outdoor environments.

Developed robust localization frameworks by integrating cross-view geo-localization with LiDAR odometry for operation in GNSS-denied environments.