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About

Lun Quan is a pioneering researcher in multi-robot systems, specializing in trajectory planning for autonomous swarms operating in complex, unstructured environments. His major contributions center on enabling robust, large-scale formation flight for aerial robots, as demonstrated in his highly cited 2023 work (59 citations), which introduced a complete system for dense-environment navigation. Quan also advances collaborative manipulation, proposing novel planning methods for non-holonomic robotic teams to catch and transport objects in wilderness rescue and industrial settings (27 citations). His 2024 research on cost-effective swarm navigation leverages close cooperation between UAVs and UGVs, optimizing global efficiency by combining aerial agility with ground-based heavy-duty capabilities. With a growing citation impact exceeding 95 total citations across key publications, Quan’s work bridges critical gaps in autonomous swarm coordination, offering scalable solutions for real-world applications. His achievements include developing integrated frameworks that merge perception, planning, and control, pushing the boundaries of what multi-robot teams can achieve in dense, dynamic environments. For students and researchers, Quan’s research represents a vital step toward fully autonomous, cooperative robotic systems.