Xiang-Yin Dai

National Formosa University

Papers

1

Total Citations

14

H-Index

1

About

Xiang-Yin Dai is a robotics researcher specializing in visual tracking, unmanned aerial vehicles (UAVs), and autonomous mobile robot coordination. Their most impactful work, "The Development of a Visual Tracking System for a Drone to Follow an Omnidirectional Mobile Robot" (2022, 14 citations), introduces a novel system enabling a drone to autonomously track and precisely land on a moving omnidirectional robot. By mounting two distinct colored LEDs on the drone and a visual tracking system on the robot, Dai's approach solves the critical challenge of real-time heading detection and alignment during dynamic landing maneuvers. This contribution advances cooperative robot-UAV systems for applications in logistics, surveillance, and industrial automation. Dai's research demonstrates practical innovation in sensor integration and control algorithms, bridging the gap between ground and aerial robotics. With growing citation impact, their work is gaining recognition among researchers developing autonomous multi-robot teams. Dai's focus on robust, real-time visual feedback systems positions them as an emerging contributor to the field of intelligent robotics and autonomous navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
The Development of a Visual Tracking System for a Drone to Follow an Omnidirectional Mobile Robot
14 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: National Formosa University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago