Papers
10
Total Citations
143
H-Index
6
About
Xiaolong Hui is a robotics researcher whose work spans autonomous systems, underwater robotics, and aerial inspection technologies. His research has made significant contributions to the development of intelligent robots capable of operating in complex, unstructured environments, with a particular focus on Underwater Vehicle-Manipulator Systems (UVMS), unmanned aerial vehicles (UAVs), and biomimetic design. Hui's most impactful work includes a widely cited 2024 survey on underwater robots and operational control (49 citations), which comprehensively addressed the navigation, communication, and control challenges facing UVMS technology. His contributions to UAV-based infrastructure inspection are equally notable — his 2019 paper on monocular vision-based perception for transmission tower inspection (44 citations) introduced innovative localization and positioning methods that have shaped subsequent research in aerial robotics. Earlier work on point-line SLAM frameworks further established his expertise in vision-based navigation. Beyond aerial systems, Hui has explored agricultural robotics through an autonomous peach-harvesting robot and pioneered biomimetic underwater grippers and jellyfish-inspired robots. His collaborative transmission-line inspection framework, combining climbing robots with UAVs, reflects his strength in multi-robot systems. Across disciplines, Hui's research demonstrates a consistent drive to push autonomous robots into challenging real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Underwater Robots and Key Technologies for Operation Control49 citations · 2024
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- 4Design and implementation of an automatic peach-harvesting robot system9 citations · 2018
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- 7Ontology based autonomous robot task processing framework6 citations · 2024
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- 9Motion Control of Robot Jellyfish Based on Umbrella Structure Actuator1 citations · 2024
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