Christoph Strohmeyer

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About

Christoph Strohmeyer is a researcher advancing the reliability and safety of robotic systems through the condition monitoring of strain wave gears (SWGs)—the critical speed reducers found in most robot joints. His work centers on fault detection and simulation for sensorized SWGs, where strain gauges mounted on the gear’s flexible spline provide real-time torque data without external sensors. Strohmeyer’s major contributions include developing a comprehensive simulation chain that models the electromechanical behavior of these sensorized gears, enabling the detection of wear and degradation before they lead to malfunction. His papers, including “Fault Detection in Gauge-Sensorized Strain Wave Gears” (2024) and “Simulation chain for sensorized strain wave gears” (2023), each with 3 citations, lay the groundwork for safer, more autonomous robotic operations. Most recently, his 2025 work on model-based fault simulation demonstrates how these techniques can predict and identify faults, directly supporting the safe operation of robots in industrial and service applications. Strohmeyer’s research is vital for the next generation of intelligent, self-monitoring robotic systems.