Yuanhang Mao

Nanjing University of Information Science and Technology

Papers

Total Citations

H-Index

About

Yuanhang Mao is a leading researcher in intelligent robotics and autonomous systems, with a primary focus on UAV path planning and sensor-based data collection. His most-cited work, "A Heuristic Evolutionary Algorithm of UAV Path Planning" (2018, 89 citations), addresses a critical challenge in modern information networks: improving data accuracy through intelligent robotic systems. Mao’s major contribution lies in developing advanced heuristic algorithms that enable unmanned aerial vehicles to optimize their flight trajectories, thereby enhancing the efficiency and reliability of real-time data transmission from sensors to servers. This work has significant implications for applications in environmental monitoring, disaster response, and smart city infrastructure. By integrating evolutionary computation with practical UAV constraints, Mao has provided a foundational framework that balances computational efficiency with path optimality. His research bridges the gap between theoretical algorithm design and real-world robotic deployment, making him a notable figure in the field of autonomous navigation. With his work continuing to influence subsequent studies in swarm robotics and adaptive path planning, Mao’s contributions are essential reading for students and researchers interested in the intersection of artificial intelligence, robotics, and information systems.