Chenglong Sun
Papers
1
Total Citations
2
H-Index
1
About
Chenglong Sun is a researcher whose work centers on advancing robotic perception and 3D measurement systems, with a particular focus on hand-eye calibration—a critical process for enabling robots to accurately interact with their environments. His major contribution lies in developing a novel calibration method that reduces reliance on specialized, high-precision targets, thereby enhancing the versatility and self-calibration capabilities of robotic systems. This approach, detailed in his 2025 paper "Robotic Hand–Eye Calibration Method Using Arbitrary Targets Based on Refined Two-Step Registration," streamlines the workflow of 3D measurement robots by optimizing their structure and operational efficiency. While early in its citation impact, with 2 citations to date, the work addresses a fundamental bottleneck in industrial robotics and automated inspection, promising broader applicability in dynamic, real-world settings. Sun’s research is particularly valuable for students and engineers seeking to make robotic systems more adaptable and less dependent on costly calibration equipment, marking him as an emerging contributor to the fields of computer vision, robotics, and metrology.
Research Focus
Key Achievements
Top Papers
- 1