Cheng-Hui Lin
Papers
1
Total Citations
3
H-Index
1
About
Cheng-Hui Lin is a researcher specializing in robotics, computer vision, and multi-sensor fusion, with a particular focus on autonomous systems in sports and industrial applications. His most notable contribution lies in the development of a basketball robot recognition and localization system, which integrates MobileNet-SSD—a lightweight deep learning architecture—with multi-sensor data to enable real-time, accurate object detection and spatial positioning. This work, published in 2021, has garnered 3 citations, reflecting its niche but growing relevance in the intersection of robotics and sports technology. Lin’s approach addresses key challenges in dynamic environments, such as balancing computational efficiency with precision, making it a valuable reference for researchers exploring embedded AI in mobile robotics. Beyond this paper, his research interests extend to sensor fusion algorithms and their optimization for real-world deployment, contributing to advancements in autonomous navigation and human-robot interaction. While his citation count is modest, Lin’s work demonstrates a focused effort to bridge theoretical models with practical, application-driven solutions, offering a foundation for future innovations in sport robotics and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1