Qijian Tang

Papers

Total Citations

H-Index

About

Qijian Tang is a researcher whose work lies at the intersection of robotics, computer vision, and sensor calibration. His primary research focus is on hand-eye calibration—the critical technique for determining the spatial relationship between a robot’s hand and its mounted vision sensor, which underpins applications in automatic 3D measurement, visual servoing, and sensor placement planning. Tang’s most notable contribution is his 2018 paper, "An accurate hand-eye calibration algorithm with global optimization," which addresses the fundamental challenge of achieving precise calibration in robotic systems. By introducing a global optimization approach, his work improves the accuracy and robustness of hand-eye transformations, directly enhancing the performance of robots in tasks requiring high-precision visual guidance. While his citation count (2) reflects a focused, early-stage impact, the significance of his contribution lies in its practical relevance to advancing autonomous robotic manipulation and inspection systems. Tang’s research is particularly valuable for engineers and researchers developing automated manufacturing, quality control, or surgical robotics, where accurate sensor-robot coordination is paramount. His work exemplifies the importance of foundational calibration techniques in enabling more sophisticated robotic capabilities.