Resume
Academic Achievements
- Papers accepted to top conferences/journals such as ICRA, IROS, RAL, TRO, CVPR, GPS Solutions. Notable projects include M2DGR, Ground-Fusion, DAF, Ground-Fusion++/M3DGR, LIGO, EN-SLAM, Ground-Challenge, Sky-GVINS. Awarded ESI Highly Cited Paper (Top 1%) and HKU Summer Research Programme Scholarship.
Research Experience
- Conducted research at MIT-IBM Watson Lab, HKU MaRS Lab, Tencent Robotics X Lab, Shanghai AI Lab, and Shanghai Beidou Research Institute.
Education
- Graduated from Shanghai Jiao Tong University with a bachelor's degree in 2021 and a master's degree in 2024 (advisor information not provided).
Background
- Research interests: robotic learning, multi-sensor fusion, and Embodied AI. Recent research directions include reinforcement learning, dexterous manipulation, and whole-body control, with the goal of achieving human-level physical intelligence in humanoid robots. Previous research focused on multi-sensor fusion SLAM algorithms/benchmarks under corner cases and multimodal navigation.
Miscellany
- Active open-source contributor with over 3k GitHub stars.