Papers
4
Total Citations
124
H-Index
4
About
Mauricio Begnini is a control systems engineer whose research focuses on robust and adaptive control strategies for autonomous mobile robots, particularly differential wheeled platforms operating under real-world uncertainties. His most influential work, “A robust adaptive fuzzy variable structure tracking control for the wheeled mobile robot: Simulation and experimental results” (94 citations), introduces a hybrid controller that combines adaptive fuzzy logic with variable structure control to achieve precise trajectory tracking despite model uncertainties and external disturbances. This approach is validated through both simulation and physical experiments, bridging the gap between theoretical control design and practical implementation. Begnini extends this framework in subsequent papers, addressing formation control of multiple non-holonomic robots using a decentralized leader-following strategy with a Separation-Bearing variant, and developing chatter-free robust controllers that eliminate the high-frequency switching typical of sliding mode methods. His work is notable for its emphasis on experimental validation, with multiple papers providing real-world implementation results on differential wheeled robots. By integrating adaptive fuzzy systems with robust variable structure control, Begnini has contributed practical, computationally efficient solutions for autonomous navigation in uncertain environments, making his research valuable for both academic control theorists and robotics practitioners developing field-deployable systems.
Research Focus
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