Johannes Reuter

Technische Universität Berlin, HTWG Hochschule Konstanz - Technik, Wirtschaft und Gestaltung

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About

Johannes Reuter is a researcher whose work spans mobile robotics, state estimation, and optimal control, with contributions that have shaped foundational methods in autonomous systems. His early work in the early 2000s established him as a key contributor to mobile robot localization and motion planning. His 2002 paper on mobile robot self-localization using PDAB (49 citations) addressed the challenging problem of determining a robot's position from an unknown initial state using natural and artificial landmarks, offering a practical framework that influenced subsequent localization research. Complementing this, his work on generating smooth, continuously differentiable trajectories for fast-moving robots in cluttered environments (40 citations) extended classical path-smoothing techniques with rigorous optimal control foundations, advancing the state of the art in real-time motion planning. More recently, Reuter has broadened his scope to marine applications, developing ellipsoidal techniques for robust state estimation under model uncertainty and GPS measurement errors. His 2025 work on Model Predictive Path Integral (MPPI) control further demonstrates his commitment to bridging advanced stochastic optimal control theory with practical robotics applications, making complex frameworks more accessible to the broader control community.