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About

Rongwei Guo is a leading researcher in cooperative control and multi-agent robotic systems, with a focus on networked manipulators and nonholonomic wheeled mobile robots. Their work addresses critical challenges in achieving consensus and adaptive tracking under realistic, often harsh, conditions such as switched parameters, changing communication topologies, model uncertainties, and external disturbances. Guo’s most influential contribution, "Consensus Control for Networked Manipulators With Switched Parameters and Topologies" (2021, 58 citations), provides a robust framework for distributed control when system parameters or network structures change abruptly. This is complemented by their pioneering work on practical consensus tracking for multiple wheeled mobile robots using sliding-mode control (2020, 40 citations) and a novel dynamic sliding mode tracker based on the Average Dwell Time technique (2025). Collectively, these contributions have garnered significant attention, establishing Guo as a key figure in advancing the reliability and real-world applicability of multi-robot coordination. Their research is essential reading for anyone working in robotics, control theory, or autonomous systems.