Andreas Michalka

Friedrich-Alexander-Universität Erlangen-Nürnberg

Papers

Total Citations

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About

Andreas Michalka is a researcher advancing the reliability and safety of robotic systems through innovative work on strain wave gears (SWGs)—the critical speed reducers found in most robot joints. His research centers on fault detection, sensor integration, and simulation of these deformable components, aiming to prevent costly malfunctions in industrial and service robots. Michalka’s major contributions include developing a simulation chain that models the signals from strain gauge sensors mounted on the flex spline, enabling precise torque measurement without external equipment. He has further extended this work to model-based fault detection, demonstrating how sensorized SWGs can identify wear and degradation before they lead to failure. Though his most-cited papers—including “Fault Detection in Gauge-Sensorized Strain Wave Gears” (2024) and “Simulation chain for sensorized strain wave gears” (2023)—each hold modest citation counts of 2–3, they represent foundational steps in a rapidly growing field. His 2025 paper on model-based fault simulation underscores his ongoing commitment to safe robot operation. Michalka’s work is particularly notable for bridging simulation and real-world diagnostics, offering practical tools for condition monitoring that could extend the lifespan of robotic joints and reduce downtime in automation.