Jianning Xu
Papers
1
Total Citations
5
H-Index
1
About
Jianning Xu is a leading researcher in robotics and intelligent manufacturing, with a focus on calibration, kinematics, and automation for industrial inspection systems. His most-cited work, "Robust Geometry Self-Calibration Based on Differential Kinematics for a Redundant Robotic Inspection System" (2024, 5 citations), addresses a critical challenge in precision manufacturing: the deviation between simulated and actual robotic poses due to orientation errors. By developing a differential kinematics-based self-calibration method, Xu enables redundant robotic systems—often paired with external turntables—to achieve higher accuracy and reliability in automated measurements. This contribution is pivotal for industries requiring efficient, flexible, and precise inspection, such as aerospace and automotive manufacturing. Xu’s work bridges the gap between theoretical robotics and practical deployment, offering robust solutions that enhance system autonomy and reduce downtime. With a growing citation footprint, his research is gaining traction among engineers and academics seeking to improve robotic performance in real-world settings. Xu’s achievements underscore his role in advancing smart manufacturing, making him a notable figure in the field of robotic calibration and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1