Valentin Kamm

Papers

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About

Valentin Kamm is a researcher at the forefront of robotic manufacturing, specializing in high-force process control and precision drivetrain modeling for industrial robots. His work addresses critical limitations in robotic machining, particularly in applications demanding exceptional path accuracy and force management. Kamm’s major contributions include pioneering high-bandwidth force control strategies for robotic friction stir welding, a process that imposes extreme force and gradient demands on compliant manipulators. His research demonstrates how advanced control can enable flexible, cost-efficient robotic systems to perform tasks traditionally reserved for rigid machine tools. Additionally, Kamm has developed novel Fourier series-based models to capture load-, velocity-, and temperature-dependent transmission errors in cycloidal drives, a key source of inaccuracy in industrial robot joints. This work provides a framework for predicting and compensating for gearbox inaccuracies, directly improving machining quality. Though early in his career, his papers from 2024 and 2025 have already garnered citations, signaling growing impact in the field. Kamm’s research bridges the gap between industrial robotics and high-precision manufacturing, promising to unlock new applications in automated machining and assembly.