Papers

4

Total Citations

174

H-Index

3

About

Xianlei Chen is a leading researcher in the field of robotics, specializing in the design and application of wall-climbing robots for industrial inspection and maintenance. His most significant contributions lie in developing tracked climbing systems that can navigate complex, large-scale vertical structures, such as ship hulls and crude oil storage tanks. His seminal 2017 work, "Design and performance analysis of a tracked wall-climbing robot for ship inspection in shipbuilding," has garnered 133 citations, establishing a foundational framework for this domain. Chen’s research directly addresses the critical need to replace hazardous, time-consuming manual calibration methods—like the optical reference line method for tank capacity verification—with safer, automated robotic solutions. He has also explored bio-inspired locomotion, as seen in his work on a water strider-inspired robot, and advanced path planning algorithms for constrained pipeline surfaces. By combining robust mechanical design with intelligent control, Chen’s work significantly enhances the safety, efficiency, and reliability of industrial asset inspection, making him a pivotal figure in applied robotics for heavy industry.

Research Focus

Key Achievements

3
H-Index
4
Papers
174
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Design and performance analysis of a tracked wall-climbing robot for ship inspection in shipbuilding
133 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Zhoushan Institute of Calibration for Quality and Technology Supervision

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago