About

Zhong Su is a leading researcher in robotics and intelligent sensing, with a focus on snake robots, pipeline inspection, and autonomous navigation. His pioneering work on snake robots includes developing a navigation method using MEMS IMU and kinematics models (24 citations) and a novel 3D visual sensing technique based on focal stack for depth reconstruction and point cloud generation (16 citations). These contributions address critical challenges in self-localization and environmental perception for highly redundant mobile robots. Su has also made significant advances in pipeline inspection robotics, proposing micro-leakage image recognition methods for small, buried gas pipelines (8 citations) and video-based leak detection techniques (7 citations). His work on combined CKF-PSR methods for gyroscope noise compensation (7 citations) and energy-efficient path planning for multi-joint robots (6 citations) further demonstrates his breadth. Notably, his recent research on multimodal wheel-track robot localization in sheltered spaces (3 citations) and improved DWA path planning methods (4 citations) continues to push boundaries. With over 75 total citations across his most-cited works, Su’s research is instrumental in advancing autonomous robotics for challenging environments, from serpentine locomotion to critical infrastructure monitoring.

Research Focus

Key Achievements

6
H-Index
8
Papers
75
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Study of the Navigation Method for a Snake Robot Based on the Kinematics Model with MEMS IMU
24 citations · 2018
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Beijing Institute of Technology, Beijing Information Science & Technology University, Beijing Satellite Navigation Center, Ministry of Education of the People's Republic of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago