Master's student · Johns Hopkins University
Hi! I'm a Master's student at Johns Hopkins University, working on robotics and perception.
My research focuses on active perception and robot learning, with an emphasis on decision-making under partial observability. I study how robots can acquire task-relevant information and use it to guide perception, planning, and action.
I am currently working on projects involving vision-language-action (VLA) models, exploring how active perception can improve robotic manipulation.
We released TRACE, our work on trajectory-level ergodic planning for active scene reconstruction.
Read the paper →* Equal contribution. 10 citations on Google Scholar. Updated Sep 06, 2026.
arXiv · 2026
Time-varying, footprint-aware ergodic planning for active Gaussian scene reconstruction, connecting informative camera trajectories with real robot deployment.
arXiv · 2025
Ergodic trajectory planning with dynamic sensor footprints.
Advanced Electronic Materials · 2025
Neural-network potentials for modeling irradiation-induced defects in silicon carbide.
Journal of Applied Physics · 2025