Papers
12
Total Citations
80
H-Index
6
About
Yongkui Sun is a robotics researcher whose work spans autonomous navigation, motion planning, and intelligent control systems for industrial and inspection robots. His research addresses some of the most pressing challenges in deploying robots in complex, real-world environments — from flexible manipulator control to multi-robot coordination in demanding industrial settings. Sun's most cited contribution, "Robust Boundary Vibration Control of Uncertain Flexible Robot Manipulator" (2020, 23 citations), demonstrates his expertise in control theory, tackling vibration suppression under uncertain disturbances. His substantial body of work on path planning — including heuristic algorithms for substation inspection robots, sampling-based motion planners, and high-traversability navigation systems — reflects a consistent drive to make robotic inspection safer, faster, and more cost-effective. Notably, Sun has made significant strides in dual-robot cooperative welding, developing multi-objective genetic and ant colony optimization algorithms to improve efficiency for large, complex manufacturing tasks. His work on under-vehicle inspection robots, incorporating 3D LiDAR-based SLAM and relocalization methods, showcases his ability to engineer solutions for hazardous, constrained environments. With over 75 cumulative citations across a focused research portfolio, Sun is an emerging voice in applied robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
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- 2A Heuristic Path Planning Algorithm for Inspection Robots12 citations · 2020
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- 10Multi-robot Task Allocation and Rescue for Mowing1 citations · 2022