Fengkuan Zhu

University of Manchester

Papers

1

Total Citations

6

H-Index

1

About

Fengkuan Zhu is a researcher specializing in non-destructive testing (NDT), robotic control, and sensor-based automation for industrial quality assurance. His most-cited work, "Pose control and profile tracking with eddy current sensor and robotic arm for NDT applications" (2024, 6 citations), addresses a critical challenge in inspecting complex metallic parts: the need for accurate surface profile knowledge without relying on design documents or separate measurements. Zhu’s contribution lies in integrating eddy current sensors with robotic arms to achieve non-contact, real-time pose control and profile tracking, enabling precise NDT of intricate geometries. This innovation streamlines industrial inspection by eliminating pre-measurement steps, enhancing efficiency and accuracy. While his citation count is still growing, Zhu’s work has immediate relevance to manufacturing sectors requiring high-precision quality control, such as aerospace and automotive. His research bridges robotics and sensing, offering a practical solution for automated defect detection. As an emerging scholar, Zhu’s focus on sensor-guided robotic manipulation positions him at the forefront of smart manufacturing and Industry 4.0 applications, with potential for significant impact as his methods gain wider adoption.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Pose control and profile tracking with eddy current sensor and robotic arm for NDT applications
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Manchester

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago