Papers
7
Total Citations
121
H-Index
4
About
Zhaozheng Hu is a robotics and computer vision researcher whose work centers on sensor fusion, autonomous navigation, and intelligent control systems for mobile robots and unmanned vehicles. His most significant contribution lies in multi-sensor calibration, particularly the extrinsic calibration of 2D laser rangefinders (LRFs) and cameras — a foundational challenge in autonomous systems. His 2016 paper on single-shot extrinsic calibration has accumulated 86 citations, establishing him as a notable voice in the sensor integration community and offering practical solutions adopted across robotics and autonomous vehicle research. Beyond calibration, Hu has expanded into robot control and localization, developing adaptive model predictive control frameworks that account for real-world localization fluctuations — a problem often overlooked in standard controller design. His more recent work tackles highly dynamic environments, including cooperative localization for robotic systems operating within bulk carrier cargo holds, demonstrating a commitment to solving industrially relevant challenges. Spanning topics from 3D LiDAR-image registration to camera self-calibration and robot-grabber cooperative systems, Hu's research reflects a consistent drive to bridge perception and control in complex real-world settings, making meaningful contributions to the growing field of intelligent autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A single-shot pose estimation approach for a 2D laser rangefinder5 citations · 2019
- 4Registration of image and 3D LIDAR data from extrinsic calibration5 citations · 2015
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- 6Advanced Sensing and Control Technologies for Autonomous Robots2 citations · 2024
- 7