Papers
1
Total Citations
8
H-Index
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About
Mingfei Ye is a researcher whose work focuses on the coordination and control of multi-agent systems, particularly in the domain of unmanned aerial vehicles (UAVs). His key research areas include collaborative search and tracking, three-dimensional trajectory planning, and the integration of optimization algorithms for autonomous systems. Ye’s most notable contribution is his 2019 paper, "An Unmanned Aerial Vehicles Collaborative Searching and Tracking Scheme in Three-Dimension Space," which has garnered 8 citations. In this work, he proposed a novel multi-UAV collaborative search scheme designed to minimize target search time. By introducing a continuous three-dimensional `8'-shape trajectory model and simplifying the camera model for target detection, Ye combined a zigzag search strategy with a genetic algorithm to enhance efficiency. This approach addresses critical challenges in real-world applications such as surveillance, disaster response, and environmental monitoring. Though early in his career, Ye’s work demonstrates a clear impact on advancing autonomous aerial systems, offering practical solutions for time-sensitive missions. His research lays a foundation for future developments in multi-UAV coordination, making him a promising figure in the field of robotics and intelligent systems.
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Top Papers
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