Qinghua Zeng

Nanjing University, Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

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About

Qinghua Zeng is a leading researcher in autonomous navigation and robotics, with a focus on developing intelligent path planning and seamless positioning systems for unmanned vehicles. His work addresses critical challenges in GPS-denied environments, particularly for indoor UAVs and mobile robots. Zeng’s most cited paper, "Path planning for indoor UAV based on Ant Colony Optimization" (2013, 43 citations), introduced a bio-inspired algorithm that optimizes UAV routes in complex indoor spaces, significantly advancing autonomous flight capabilities. He further contributed to robust navigation with "Seamless autonomous navigation based on the motion constraint of the mobile robot" (2017, 5 citations), which proposed a method to maintain high accuracy during GPS outages by leveraging robot motion constraints. This work is vital for real-world applications like search-and-rescue and warehouse automation. Zeng’s research bridges theoretical optimization and practical deployment, earning recognition for its impact on autonomous systems. His innovative approaches continue to inspire new solutions in robotics and unmanned aerial vehicle navigation, making him a key figure in the field.