Jie-Tong Zou
Papers
8
Total Citations
65
H-Index
5
About
Jie-Tong Zou is a robotics and autonomous systems researcher whose work spans unmanned aerial vehicles (UAVs), mobile robotics, and intelligent control systems. With a career marked by consistent contributions to both aerial and ground-based robotics, Zou has established expertise in multi-rotor flight systems, visual tracking, and indoor positioning — areas critical to the advancement of autonomous robot navigation. His most cited work, a 2012 study on tri-rotor flying robot modeling and implementation (22 citations), laid early groundwork in unconventional UAV configurations. This was complemented by research into quadrotor visual tracking systems and, more recently, a notable 2022 project (14 citations) developing a drone-to-mobile-robot visual tracking and autonomous landing system using LED-based heading detection — a practical innovation with strong implications for cooperative multi-robot systems. Zou has also contributed meaningfully to indoor positioning using motion capture systems, omnidirectional home care mobile robots, and a six-degree-of-freedom robotic arm designed for intelligent service applications. His exploration of pathfinding algorithms, including A* applied to strategic games, reflects a broad, interdisciplinary approach to intelligent systems. Across his body of work, Zou demonstrates a sustained commitment to bridging theoretical robotics with real-world, human-centered applications.
Research Focus
Key Achievements
Top Papers
- 1The modeling and implementation of tri-rotor flying robot22 citations · 2012
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- 4Visual Track System Applied in Quadrotor Aerial Robot6 citations · 2012
- 5The development of six D.O.F. robot arm for intelligent robot5 citations · 2011
- 6A* search algorithm applied to a Chinese chess game4 citations · 2011
- 7The study of path error for an omnidirectional home care mobile robot4 citations · 2011
- 8The Development of the Omnidirectional Mobile Home Care Robot2 citations · 2011