Yuan Cheng Lai

Shandong University of Science and Technology

Papers

Total Citations

H-Index

About

Yuan Cheng Lai is a researcher at the forefront of computer vision and sports analytics, with a primary focus on real-time object tracking and human-robot interaction. His most notable contribution is the development of YO-CSA-T, a real-time badminton tracking system that leverages YOLO enhanced with contextual and spatial attention mechanisms. This system addresses the formidable challenge of accurately tracking a fast-moving shuttlecock—which can exceed speeds of 300 km/h—against complex backgrounds, enabling the creation of rally robots for human-robot competition. Despite its recent publication in 2025, the work has already garnered 3 citations, signaling its immediate impact on the field. Lai’s research bridges the gap between high-performance computer vision algorithms and practical robotics applications, offering solutions that require both real-time processing and exceptional accuracy. His work is particularly relevant for researchers in sports technology, autonomous systems, and attention-based neural networks. By tackling the unique visual challenges of shuttlecock tracking—such as motion blur, occlusion, and environmental blending—Lai has laid critical groundwork for next-generation interactive robots and intelligent sports training systems.