Jonathan Frey
Papers
5
Total Citations
117
H-Index
4
About
Jonathan Frey is a researcher whose work spans industrial wireless communication, model predictive control (MPC), and autonomous robotics. His early contribution, "Design and Implementation of a Real-Time Wireless Sensor/Actuator Communication System" (2006, 57 citations), addressed critical challenges in industrial automation by developing wireless communication infrastructure capable of meeting the demanding real-time and power requirements of production machines and robotic installations — a foundational contribution that shaped subsequent work in industrial IoT. More recently, Frey has emerged as a prominent voice in uncertainty-aware and robust model predictive control. His 2023 paper on active learning of discrete-time dynamics for MPC (42 citations) demonstrated how robot control systems can adaptively refine their models in response to changing operating conditions, advancing the frontier of safe, adaptive robotics. His work on zero-order robust optimization (zoRO) — spanning both mobile robot collision avoidance and efficient real-time MPC with the acados framework — reflects a consistent drive to make computationally tractable what was previously prohibitively expensive. His most recent work on multi-phase optimal control problems further extends this trajectory. With citations accumulating rapidly across multiple subfields, Frey represents a versatile and impactful presence in modern control engineering research.
Research Focus
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Top Papers
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