Papers
2
Total Citations
26
H-Index
2
About
Xuyang Yan is a researcher focused on advancing autonomous systems, particularly in the domains of multi-robot coordination and path planning for unmanned aerial vehicles (UAVs). Their work addresses critical challenges in operational efficiency and real-world deployment, with a key contribution being the development of a complete coverage path planning algorithm that integrates energy compensation and obstacle vectorization. This approach, published in 2022 and earning 18 citations, enables UAVs to systematically cover areas while optimizing energy use and navigating complex environments—a vital capability for applications like search-and-rescue or agricultural monitoring. Yan also contributed a framework for testing and evaluating the operational performance of multi-UAV systems (2021, 8 citations), providing systematic methods to assess reliability and coordination in collaborative missions. These contributions highlight Yan’s role in bridging theoretical algorithms with practical validation, offering tools that enhance the autonomy and efficiency of multi-agent systems. Their work is particularly relevant for students and researchers exploring intelligent robotics, swarm intelligence, and energy-aware navigation.
Research Focus
Key Achievements
Top Papers
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