Yanhua Yang

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About

Yanhua Yang is a leading researcher in heterogeneous robotic systems, with a primary focus on the coordination and path planning of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) within complex road networks. Their most-cited work, "Path Planning of UAV-UGV Heterogeneous Robot System in Road Network" (2019), has garnered 16 citations, establishing a foundational framework for optimizing multi-robot collaboration in constrained environments. This contribution addresses critical challenges in autonomous navigation, enabling efficient task allocation and collision-free movement for mixed aerial-ground teams. Yang's research bridges theoretical algorithms with practical applications, particularly in search-and-rescue, surveillance, and logistics. By integrating graph theory and dynamic optimization, their work has influenced subsequent studies on cooperative control and real-time decision-making in robotics. Yanhua Yang continues to advance the field, with their citation record reflecting growing recognition among peers for pioneering solutions that enhance the autonomy and reliability of heterogeneous robot systems.