Yu‐Cheng Chiu
Papers
1
Total Citations
6
H-Index
1
About
Yu-Cheng Chiu is a researcher at the forefront of intelligent robotics and real-time computer vision, with a primary focus on developing lightweight, high-performance systems for autonomous mobile robots. His most-cited work, "Person Tracking Control of Mobile Robots Using a Lightweight Object Detection and Tracking System" (2024), has already garnered 6 citations, demonstrating early impact in a rapidly evolving field. In this seminal paper, Chiu addresses a critical challenge in human-robot interaction: enabling mobile robots to perform robust, real-time pedestrian tracking without the computational burden of traditional deep learning models. By integrating lightweight network architectures with efficient detection algorithms, his system achieves powerful pedestrian tracking that is both accurate and deployable on resource-constrained platforms. This contribution is pivotal for applications ranging from service robotics to autonomous navigation in crowded environments. Chiu’s work exemplifies a practical, engineering-driven approach to making advanced AI accessible for real-world robotics, and his ongoing research promises to further bridge the gap between cutting-edge computer vision and reliable, real-time robotic control.
Research Focus
Key Achievements
Top Papers
- 1