De An Zhao

Papers

Total Citations

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About

De An Zhao is a researcher focused on advancing autonomous navigation and robotic manipulation in complex, unstructured environments. His primary research areas include agricultural robotics, path planning, and intelligent control systems. Zhao’s most notable contribution is his work on obstacle avoidance for apple harvesting robot manipulators, where he developed a novel method integrating MAKLINK graphs with an improved ant colony algorithm. This approach effectively addresses real-time path planning challenges posed by dynamic obstacles like branches, enhancing the efficiency and safety of harvesting robots. With his most-cited paper garnering 10 citations, Zhao’s work has laid foundational insights for robotic systems operating in agricultural settings. Additionally, he has contributed to mobile robot navigation by designing an autonomous system that combines GPS and GIS technologies, achieving robust path tracking for all-terrain platforms. His interdisciplinary approach, merging computational algorithms with practical robotic applications, underscores his impact on the development of intelligent, autonomous machines.