CAHSOR: Competence-Aware High-Speed Off-Road Ground Navigation accepted to RA-L.
TAL accepted at IROS 2024.
M2P2, VertiEncoder, and TNT on arXiv.
CAHSOR: Competence-Aware High-Speed Off-Road Ground Navigation using SSL to augment vision space with IMU data on arXiv.
TAL that uses SSL to understand the surrounding in indoor/outdoor environments and vertically challenging terrains on arXiv.
Accepted a position at Los Alamos National Laboratory for Applied Machine Learning Internship Summer 2022.
Research Experience
Conducts research at the RobotiXX lab, focusing on off-road navigation for robots.
Education
PhD student at George Mason University, advised by Dr. Xuesu Xiao.
Background
A PhD student at George Mason University, focusing on off-road navigation in robotics. Designs, builds, and deploys robots for challenging off-road environments. His work integrates principles from physics, control systems, and planning algorithms to develop robust solutions for off-road robotics.
Miscellany
Avid aviation enthusiast with aspirations of earning a private pilot’s license. The challenges and precision of aviation inspire him and complement his passion for innovation and exploration.