Yufeng He

Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

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About

Yufeng He is a researcher specializing in autonomous systems and unmanned aerial vehicle (UAV) navigation, with a particular focus on intelligent path planning algorithms. His most recognized contribution lies in the application of bio-inspired computational methods to solve complex navigation challenges in constrained environments. His 2013 paper, "Path Planning for Indoor UAV based on Ant Colony Optimization," demonstrates his expertise in adapting swarm intelligence techniques — specifically Ant Colony Optimization — to address the critical challenge of finding optimal routes for UAVs operating within indoor settings, a problem of significant practical importance across domains ranging from search and rescue to autonomous delivery systems. This work has garnered 43 citations, reflecting its meaningful influence within the robotics and autonomous systems research community. He's work bridges the gap between theoretical optimization algorithms and real-world UAV deployment scenarios, contributing to the growing body of knowledge that enables UAVs to navigate complex, obstacle-rich environments without human intervention. His research continues to be a valuable reference point for engineers and scientists working at the intersection of artificial intelligence, robotics, and autonomous navigation systems.