Ze Han
Papers
1
Total Citations
7
H-Index
1
About
Dr. Ze Han is a researcher in robotics and computer vision, with a primary focus on advancing hand-eye calibration for robotic systems. His most notable contribution is the development of a novel binocular vision-based calibration method that integrates dual nonlinear optimization and sample screening techniques, significantly improving the accuracy and robustness of robot-environment interactions. This work, published in 2023, has already garnered 7 citations, reflecting its early impact on the field. Dr. Han’s research addresses critical challenges in sensor fusion and robotic perception, enabling more precise manipulation and autonomous navigation. His approach to sample screening reduces noise and enhances calibration reliability, offering practical solutions for industrial and service robotics. By bridging theoretical optimization with real-world application, Dr. Han’s contributions are paving the way for more adaptive and intelligent robotic systems. His work is particularly relevant for researchers exploring vision-guided robotics, where accurate hand-eye coordination is essential for tasks ranging from assembly to surgical assistance.
Research Focus
Key Achievements
Top Papers
- 1