About

Jizhong Xiao is a prominent robotics researcher whose work spans mobile robotics, autonomous systems, and infrastructure inspection technologies. Best known for his pioneering contributions to wall-climbing robot design, Xiao has spent decades advancing the field of specialized locomotion, from early underactuated suction-based miniature climbers (2002, 140 citations) to sophisticated multi-generation platforms like the City-Climber series (2007, 58 citations). His highly cited survey on 3D path planning algorithms (2016, 321 citations) has become an essential reference for roboticists navigating the complexities of collision-free navigation in three-dimensional environments. Xiao's research bridges theoretical foundations and real-world application with notable elegance. His work on linear Kalman filtering for orientation estimation using low-cost inertial sensors (2015, 180 citations) demonstrates his command of sensor fusion and state estimation. Perhaps most impactful in applied terms is his dedicated focus on automated infrastructure inspection — developing wall-climbing robots capable of concrete defect detection, non-destructive evaluation, and 3D mapping of aging bridges and tunnels. His contributions to multi-robot exploration algorithms further reflect the breadth of his expertise. Across his career, Xiao's research has meaningfully advanced both the science and safety of autonomous robotic systems in challenging, real-world environments.

Research Focus

Key Achievements

23
H-Index
85
Papers
2,150
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Survey of Robot 3D Path Planning Algorithms
321 citations · 2016
📈 Most Prolific Year: 2011 (9 Papers)
🤝 Key Collaborators: 125
🏛 Institutions: City College of New York, City University of New York, The Graduate Center, CUNY, Michigan State University, University of Chinese Academy of Sciences, City College

Top Papers

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    Climbing the walls [robots]
    140 citations · 2002
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Key Collaborators

Contact & Links

Available for collaboration
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