Ning Xi
Papers
1
Total Citations
5
H-Index
1
About
Ning Xi is a distinguished robotics researcher whose work sits at the intersection of robotic vision, sensor calibration, and intelligent automation. His research addresses fundamental challenges in enabling robots to perceive and interact with their environments with precision and reliability. A notable contribution is his development of fast and accurate 3D eye-to-hand calibration methodologies for large-scale scenes, leveraging structured light sensors and advanced software frameworks like HALCON. This work tackles a critical bottleneck in vision-based robotic task execution — the efficient coordination between a robot's visual sensor and its end effector — particularly in environments involving massive point cloud datasets that traditionally demand prohibitive computational resources. Though his published work in this area is relatively recent, with the calibration study already accumulating citations since its 2021 release, Xi's contributions signal a growing influence in the robotics community. His research has meaningful implications for industrial automation, robotic manipulation, and large-scale deployment of vision-guided systems. For students and researchers working on robot-sensor integration or autonomous systems, Xi's work represents a practical and technically rigorous foundation for advancing the reliability of vision-based robotic applications in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1