Hsien-Wen Hu

Ming Chuan University

Papers

1

Total Citations

10

H-Index

1

About

Dr. Hsien-Wen Hu is a robotics researcher whose work centers on autonomous mobile systems, computer vision, and real-time localization. His most cited study, "Real time self-localization of omni-vision robot by pattern match system" (2014, 10 citations), exemplifies his focus on integrating advanced image processing and dynamic tracking for practical robotic applications. In this work, Hu designed an autonomous robot compliant with FIRA RoboSot competition standards, tackling the challenge of enabling a robot to determine its own position in real time using omnidirectional vision and pattern matching. This contribution is significant for its practical approach to self-localization—a core problem in mobile robotics—and its application in competitive, high-speed environments like robot soccer. Hu’s research bridges computer vision and wireless communication, offering solutions that enhance robot autonomy and responsiveness. While his citation count reflects a focused, early-stage impact, his work provides a foundation for students and researchers interested in integrating vision-based systems into real-world robotic platforms, particularly in dynamic, rule-based settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Real time self-localization of omni-vision robot by pattern match system
10 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Ming Chuan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago