Dongjie Liu

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About

Dongjie Liu is a researcher focused on advancing autonomous systems through multi-vehicle cooperation, particularly in unmanned air and ground vehicle (UAV/UGV) teams. Their key research areas include vision-based mapping, path planning, and cooperative robotics for real-world applications such as search-and-rescue missions. Liu’s most cited work, “Vision‐based map building and path planning method in unmanned air/ground vehicle cooperative systems” (2020), introduces a novel approach where a UAV acts as a “flying eye,” using vision sensors to provide global environmental information that guides a UGV’s navigation. This study applies mathematical algorithms to a typical rescue scenario, demonstrating how aerial-ground collaboration can reduce casualties and improve operational efficiency. By integrating perception and planning, Liu’s contributions help bridge the gap between theoretical robotics and practical deployment in hazardous environments. With 5 citations, this paper has laid groundwork for further innovations in cooperative autonomous systems, highlighting Liu’s role in developing safer, more effective robotic teams for critical missions.