Jiming Sa

Papers

Total Citations

H-Index

About

Jiming Sa is a researcher focused on advancing robotic perception and calibration technologies, with a particular emphasis on hand-eye coordination systems for industrial automation. His most cited work, "Research on Hand-eye Calibration Method Based on Binocular Camera" (2022), introduces an innovative approach using a three-dimensional calibration ball to enhance precision in robotic arm positioning. By employing the Eye-in-hand calibration method, Sa’s research demonstrates how binocular cameras fixed at the end of a six-axis mechanical arm can acquire point cloud data from varied arm positions, significantly improving calibration accuracy. This contribution addresses a critical challenge in robotics—ensuring seamless alignment between a robot’s visual input and its physical movements—which is essential for tasks like automated assembly and quality inspection. With 2 citations, his work has already garnered attention in the field, reflecting its practical relevance. Sa’s achievements underscore his commitment to bridging theoretical calibration techniques with real-world robotic applications, making his research a valuable resource for students and engineers exploring precision automation.