Mengqing Chen

Wuhan University of Science and Technology

Papers

Total Citations

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About

Mengqing Chen is a robotics researcher specializing in autonomous systems, multi-robot coordination, and intelligent path planning for heterogeneous robotic platforms. Their most recognized contributions center on the emerging field of marsupial robotic systems — sophisticated air-ground collaborative frameworks in which unmanned ground vehicles (UGVs) serve as mobile carriers capable of deploying and retrieving aerial robots during complex missions. Chen's landmark works, including "Path Planning for Vehicle-borne System Consisting of Multi Air–ground Robots" (2019, 20 citations) and "Path Planning for the Marsupial double-UAVs System in Air-ground Collaborative Application" (2018, 17 citations), tackle the intricate optimization challenges involved in coordinating UGVs with multiple unmanned aerial vehicles (UAVs) simultaneously. These contributions address real-world deployment scenarios where aerial robots must efficiently launch, complete aerial tasks, and return to a continuously moving ground carrier — a problem with significant implications for search-and-rescue, surveillance, and exploration applications. Chen's research has attracted growing attention from the robotics community, accumulating nearly 40 citations across their primary works. Their focus on practical, scalable solutions for multi-robot systems positions them as a meaningful contributor to the rapidly advancing field of collaborative autonomous robotics and intelligent transportation systems.