M. Safarbali

University of Applied Science and Technology

Papers

Total Citations

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About

M. Safarbali is a researcher whose work centers on the control and navigation of wheeled mobile robots (WMRs), with a particular focus on overcoming the challenges of wheel slippage in real-world environments. Their major contributions lie in developing advanced adaptive and robust control strategies that enable precise trajectory tracking despite the presence of slip, uncertainty, and external disturbances. Safarbali’s most cited paper, "Adaptive robust control with slipping parameters estimation based on intelligent learning for wheeled mobile robot" (2024), has already garnered 27 citations, reflecting its timely impact on the field. In earlier work, "Trajectory tracking control for WMR in the presence of slip, uncertainty and disturbance based on adaptive sliding mode approach" (2021), they introduced an adaptive sliding mode controller that explicitly models and compensates for longitudinal slipping, a critical step toward reliable autonomous navigation. By integrating intelligent learning with robust control theory, Safarbali is advancing the practical deployment of mobile robots in unstructured environments. Their research is especially valuable for students and engineers working on autonomous vehicles, field robotics, and systems where traction and stability are paramount.