MS Defense of Youngju, Taegeun, and Jeil

Our lab members, Youngju, Taegeun, and Jeil, successfully defended their theses in December 2024.

Youngju presented his research, “Generalizable 3D Surface Reconstruction from Arbitrary and Unfavorable Data Sets.”

Taegeun introduced his work, “Hierarchical Reinforcement Learning for Efficient Navigation Among Movable Obstacles Using a Mobile Manipulator.”

Jeil explained his study, “Depth Image-Based Navigation for Quadrupedal Robots in Unstructured Environments Using Hierarchical Reinforcement Learning.”

Congratulations to all on their achievements! Everyone worked incredibly hard, well done!

Leave a Reply