Ling-Hao Han
Papers
1
Total Citations
4
H-Index
1
About
Ling-Hao Han is a researcher in robotics and computer vision, with a focus on autonomous mobile systems and human-robot interaction. His most-cited work, "The Moving Target Recognition and Tracking Using RGB-D Data with the Mobile Robot" (2019, 4 citations), addresses the challenge of enabling mobile robots to recognize and track moving targets in unknown environments. By integrating RGB-D data from a Kinect sensor, Han developed methods that combine appearance and depth information for robust target identification and motion control. This contribution is foundational for applications in service robotics, surveillance, and autonomous navigation, where real-time perception and response are critical. Though his citation count is modest, Han’s work demonstrates a practical, sensor-driven approach to dynamic environment understanding, bridging the gap between computer vision algorithms and real-world robotic deployment. His research underscores the importance of multimodal sensing in achieving reliable autonomous behavior, offering insights for students and researchers interested in mobile robotics, sensor fusion, and interactive systems.
Research Focus
Key Achievements
Top Papers
- 1