Xuandong Li

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About

Dr. Xuandong Li is a leading researcher in multi-robot systems and control theory, with a primary focus on developing theoretically rigorous yet computationally efficient navigation frameworks. His most significant contributions center on hierarchical model predictive control (MPC) for multi-robot navigation, particularly in the challenging scenario where no reference trajectory exists. Dr. Li’s pioneering 2016 work, which has garnered 12 citations, introduced a hierarchical MPC approach that provides formal stability guarantees—a critical advancement over heuristic-search methods that lack theoretical foundations. He further extended this work in 2017 to address the complexities of switched linear dynamical robots, ensuring both stability and feasibility while maintaining fast computation. These contributions are particularly impactful for real-world applications where robots must navigate unpredictable environments without predefined paths. By bridging the gap between theoretical control guarantees and practical deployment, Dr. Li’s research has established new standards for safe, reliable multi-robot coordination. His work continues to influence the fields of autonomous systems, robotics, and distributed control, offering essential tools for researchers and engineers developing next-generation multi-robot systems.