Marcel Mueller

Papers

Total Citations

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About

Marcel Mueller is a robotics researcher whose work focuses on advancing autonomous mobile robot navigation through improved localization and sensor calibration. His most-cited paper, "Semi-automatic Calibration of UWB Range Measurements for an Autonomous Mobile Robot" (2018, 4 citations), addresses a critical challenge in commercial robotics: enabling robots to follow precise, pre-programmed paths—such as coverage paths for cleaning or inspection—with minimal lane overlap for maximum efficiency. Mueller’s key contribution lies in developing a semi-automatic calibration method for Ultra-Wideband (UWB) range measurements, which enhances localization accuracy in real-world environments. This work is particularly relevant for applications where GPS is unavailable or unreliable, such as indoor or cluttered settings. By reducing the need for manual calibration, Mueller’s approach streamlines deployment and improves robot autonomy. While his citation count is modest, his research has practical significance for industries seeking cost-effective, reliable navigation solutions. Mueller’s work exemplifies the intersection of sensor fusion, calibration techniques, and autonomous systems, offering a foundation for future innovations in mobile robotics.