Sorin Olaru

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About

Sorin Olaru is a leading figure in control theory, whose work bridges the gap between mathematical rigor and real-world robotic applications. His research centers on **optimization-based control**, **hybrid systems**, and **model predictive control (MPC)** , with a particular focus on tackling non-convex problems that arise in complex environments. Olaru’s major contributions include developing efficient **mixed-integer representations** for control design, which provide mathematical foundations for handling collision avoidance and other contradictory constraints—a critical step for autonomous systems. His most cited work, the 2015 book *Mixed-Integer Representations in Control Design* (17 citations), offers foundational tools for characterizing non-convex feasible sets. Olaru has also advanced the field of **hybrid modelling**, as seen in his work on juggling systems (7 citations), where he designed stabilizing controllers for switching dynamics. More recently, he has applied **stabilizing MPC** to agricultural robotics, demonstrating finite control set strategies for path-following in car-like robots (2024, 4 citations). Through these contributions, Olaru has shaped how engineers design safe, efficient controllers for systems operating under uncertainty and physical constraints.