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
Top Papers
- 1
- 2Tracked Wall-Climbing Robot for Calibration of Large Vertical Metal Tanks32 citations · 2019
- 3
- 4Constrained Path Planning on Pipeline Surface for Wall Climbing Robots3 citations · 2022