Fuxiang Liu
Papers
2
Total Citations
22
H-Index
2
About
Dr. Fuxiang Liu is a researcher at the forefront of non-destructive testing (NDT) and autonomous robotic motion planning. His primary research focuses on developing intelligent robotic systems for ultrasonic inspection of complex structures, where he has pioneered optimized scanning schemes that significantly enhance defect detection in challenging geometries. His most cited work, "An Optimized Robotic Scanning Scheme for Ultrasonic NDT of Complex Structures" (2017, 18 citations), established a foundational methodology for adaptive path planning in industrial inspection, directly improving the reliability of structural health monitoring. More recently, Dr. Liu has advanced the field of motion planning with his innovative "Dubins-RRT*" algorithm (2025, 4 citations), which integrates curvature-constrained path optimization to enable smoother, more efficient trajectories for autonomous robots in constrained environments. This work bridges the gap between theoretical robotics and practical NDT applications, offering tangible improvements in both speed and accuracy. Dr. Liu’s contributions are particularly impactful for aerospace and manufacturing sectors, where precise, automated inspection is critical for safety and quality assurance.
Research Focus
Key Achievements
Top Papers
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