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

6
H-Index
10
Papers
143
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Underwater Robots and Key Technologies for Operation Control
49 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Shandong Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Institute of Automation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago