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About

Lingchun Li is a control systems researcher specializing in autonomous mobile robotics, multi-agent coordination, and robust control theory. Their work primarily focuses on fixed-time trajectory tracking control for nonholonomic mobile robots — systems constrained by rolling-without-slipping dynamics that present significant mathematical challenges in controller design. Li's most influential contribution, "Fixed-time trajectory tracking control for multiple nonholonomic mobile robots" (2020, 14 citations), addresses the sophisticated problem of coordinating robot formations where only a subset of followers can access leader information, leveraging graph theory and Lyapunov stability frameworks to guarantee convergence within a bounded time independent of initial conditions. This work established a foundation extended in subsequent research, including a single-robot formulation (2021) employing global invertible transformations to unify error dynamics, and a visually-guided multi-robot variant (2024) incorporating uncalibrated camera parameters — a practically significant advance for real-world deployment. Beyond robotics, Li has contributed to stochastic control systems, designing H∞ sliding mode controllers for Markov jump systems with time-varying delays and uncertain transition probabilities (2019). Collectively, Li's research reflects a rigorous mathematical approach to making autonomous systems resilient, coordinated, and deployable under realistic uncertainty — making their work valuable reading for students pursuing robotics and control engineering.