Yongqi Li

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About

Yongqi Li is a researcher specializing in multi-robot systems, autonomous navigation, and intelligent control, with a particular focus on unmanned surface vehicles (USVs) and unmanned aerial vehicles (UAVs). Their most notable contribution, "Dynamic Route Planning for a USV-UAV Multi-Robot System in the Rendezvous Task with Obstacles" (2023), has garnered 23 citations, showcasing its impact on the field of cooperative robotics. This work addresses critical challenges in real-time path planning for heterogeneous robot teams operating in obstacle-rich environments, offering novel algorithms that enhance coordination and efficiency during rendezvous tasks. Li’s research bridges theoretical advances in dynamic optimization with practical applications in maritime and aerial surveillance, search-and-rescue, and environmental monitoring. By integrating USV-UAV systems, they have advanced the state of the art in multi-agent collaboration, particularly in scenarios requiring adaptive route re-planning under constraints. Their work is recognized for its clarity and relevance, making it a valuable reference for students and researchers exploring autonomous systems, swarm robotics, and intelligent transportation. Li’s contributions continue to inspire innovations in multi-robot coordination and obstacle avoidance.