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Arsalan Babaei Robat is a robotics researcher specializing in the dynamics and control of wheeled mobile robots, with a particular focus on tractor-trailer systems operating under real-world constraints. His work addresses a critical gap in the field: while most prior studies assume ideal pure-rolling wheel conditions, Babaei Robat incorporates the effects of wheel slip—a phenomenon that significantly impacts stability, safety, and maneuverability in practical applications. His most influential paper, "Dynamics modeling and sliding mode control of tractor-trailer wheeled mobile robots subject to wheels slip" (2019), has garnered 108 citations, underscoring its importance to the robotics community. In this work, he developed a comprehensive dynamic model and a robust sliding mode controller that compensates for slip, enabling more reliable path following. He further advanced the field with a 2024 study (23 citations) on path following control for the same class of robots, and earlier explored model predictive control for trajectory tracking (2018). By tackling the challenging problem of slip in articulated wheeled robots, Babaei Robat’s research directly supports the development of safer, more capable autonomous vehicles for logistics, agriculture, and field robotics.