Shaoqiang Li

Anhui University of Science and Technology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University

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About

Shaoqiang Li is a robotics engineer focused on automating high-risk and labor-intensive medical and agricultural tasks. His research centers on the design and control of specialized robotic systems for biological sampling and livestock management. Li’s major contributions include the development of a remotely controlled oropharyngeal swab sampling robot, created to protect medical staff from infection during the COVID-19 pandemic. This work directly addressed the clinical need to minimize exposure to respiratory secretions. In parallel, he has advanced agricultural automation by designing a teat cup attachment robot for automatic milking systems, targeting the efficiency and labor challenges of medium and large dairy farms in China. To enable these systems, Li has also explored robust image segmentation techniques, such as Mask R-CNN, for real-time visual guidance in oral environments. While his most-cited papers have garnered 6 citations each, their immediate relevance to pressing global health and agricultural productivity challenges underscores their practical impact. Li’s work represents a meaningful step toward safer, more autonomous systems in both clinical and field settings.