Zewei Cai
Papers
1
Total Citations
2
H-Index
1
About
Zewei Cai is a researcher focused on advancing robotic vision and 3D measurement technologies, with a particular emphasis on hand-eye calibration and optical metrology. His most-cited work, "An accurate hand-eye calibration algorithm with global optimization" (2018), addresses a critical challenge in robotics: precisely determining the transformation between a robot hand and its mounted vision sensor. This technique underpins applications such as automatic 3D measurement, visual servoing, and sensor placement planning. By proposing a global optimization approach, Cai improved calibration accuracy, directly enhancing robotic precision in real-world tasks. Though his citation count is modest, his contributions to hand-eye calibration are foundational for researchers and engineers developing automated systems. Cai's work bridges theoretical optimization with practical robotics, offering robust solutions for industrial automation. His research continues to influence the integration of vision and manipulation, making him a notable figure in the field of robotic perception and control.
Research Focus
Key Achievements
Top Papers
- 1An accurate hand-eye calibration algorithm with global optimization2 citations · 2018