Hong Kong University of Science and Technology
🇭🇰 HK
Papers
715
Total Citations
28,510
H-Index
78
Researchers
778
About
The Hong Kong University of Science and Technology (HKUST) has established itself as a world-class research powerhouse at the intersection of robotics, autonomous systems, and intelligent technologies. Its research portfolio spans state estimation, aerial robotics, deep reinforcement learning, and bio-inspired systems, making it one of Asia's most influential institutions in these rapidly evolving fields. HKUST's most celebrated contribution is VINS-Mono, a groundbreaking monocular visual-inertial state estimator that has accumulated over 4,300 citations and become a foundational reference for autonomous navigation. This work epitomizes the institution's strength in tightly-coupled sensor fusion — extended further through innovations in LiDAR-inertial odometry and camera-IMU calibration that collectively underpin modern mobile robotics. The university's aerial robotics research is equally distinguished, with landmark work on UAV swarms navigating dense, unstructured environments and the FUEL framework enabling fast autonomous exploration, demonstrating a seamless bridge from theory to real-world deployment. Beyond navigation, HKUST researchers have made significant strides in learning-based approaches, including mapless robot navigation through deep reinforcement learning and lifelong federated reinforcement learning for cloud robotic systems. The institution's scope also extends to cutting-edge materials and bio-inspired robotics, with notable advances in graphene-based wearable sensors, piezoelectric electronic skin, and nanorobotic theranostics. HKUST is home to the renowned Aerial Robotics Group and strong ties to its Robotics Institute, attracting top talent and fostering interdisciplinary collaborations. For prospective students and collaborators, HKUST offers an exceptional environment where fundamental algorithms meet real-world deployable systems — making it an ideal partner for ambitious research at the frontier of autonomous intelligence.
Research Focus
Key Achievements
Top Papers
- 1VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator4,390 citations · 2018
- 2
- 3A Survey on Aerial Swarm Robotics634 citations · 2018
- 4Tightly Coupled 3D Lidar Inertial Odometry and Mapping568 citations · 2019
- 5Swarm of micro flying robots in the wild539 citations · 2022
- 6Graphene-based wearable piezoresistive physical sensors471 citations · 2020
- 7Improving RGB-D SLAM in dynamic environments: A motion removal approach384 citations · 2016
- 8
- 9A micro-robot fish with embedded SMA wire actuated flexible biomimetic fin283 citations · 2008
- 10
Faculty & Researchers
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