Papers
2
Total Citations
60
H-Index
2
About
Qi Yang is a robotics and automation researcher whose work bridges industrial robot systems and autonomous vehicle technologies. With a primary focus on robot calibration and intelligent control systems, Yang has made meaningful contributions to improving the precision and reliability of modern robotic applications. Yang's most significant contribution to date is the 2022 paper on industrial serial robot calibration, which addresses both geometric and deformation errors in real-world manufacturing environments. This work has garnered 58 citations, reflecting its practical relevance to industries where robot accuracy is critical for quality and efficiency. By tackling the compounded challenge of structural deformation alongside traditional geometric inaccuracies, Yang's approach offers a more comprehensive calibration framework than prior methods. Earlier work from 2018 explored autonomous multi-vehicle queue following control, combining laser sensing and computer vision within a leader-follower model. This research demonstrates Yang's broader interest in intelligent autonomous systems, leveraging the ROS simulation environment and the Camshaft algorithm for video processing to enable coordinated vehicular movement without human intervention. Taken together, Yang's research reflects a consistent drive toward greater autonomy and precision in robotic and vehicle systems, making meaningful contributions to both industrial automation and emerging autonomous mobility technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2