Huan-Wei Hsu
Papers
1
Total Citations
6
H-Index
1
About
Huan-Wei Hsu is a researcher specializing in mobile robotics, computer vision, and deep learning, with a particular focus on real-time pedestrian detection and tracking systems. His most-cited work, "Person Tracking Control of Mobile Robots Using a Lightweight Object Detection and Tracking System" (2024), addresses the critical challenge of enabling mobile robots to perform efficient, real-time person tracking in dynamic environments. By integrating deep learning with lightweight network architectures, Hsu’s system achieves robust pedestrian detection without compromising computational speed—a key requirement for practical robotic applications. This contribution is especially valuable for service robots, autonomous navigation, and human-robot interaction scenarios where low-latency tracking is essential. With 6 citations already, his work is gaining recognition for its practical impact on deploying intelligent tracking on resource-constrained platforms. Hsu’s research bridges the gap between advanced AI perception and real-world robotic deployment, making him a promising voice in the field of mobile robot autonomy and vision-based control systems.
Research Focus
Key Achievements
Top Papers
- 1