G.M. Schuster

University of Applied Sciences Rapperswil

Papers

Total Citations

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About

G.M. Schuster’s research centers on mobile robotics, autonomous navigation, and robust computer vision, with a particular focus on control systems and sensor-based perception. In his most cited work, “Simulation of fuzzy motion controlled four-wheel steered mobile robot” (2002, 7 citations), Schuster developed a dual-component simulation platform that models both physical robot dynamics and fuzzy logic control algorithms, providing a foundational tool for testing four-wheel steering systems. His second key contribution, “Robust line detection using a weighted MSE estimator” (2004, 6 citations), introduced a novel line detection algorithm that uses a weighted minimum mean square error approach. Originally designed to enable a mobile robot to reliably follow a white line on the floor, this method proved to be general and widely applicable across various line detection tasks. Though modest in citation count, Schuster’s work is notable for its practical, application-driven approach—bridging simulation and real-world robotic vision. His contributions offer valuable insights for researchers working on autonomous ground vehicles, fuzzy control, and low-level visual feature extraction, particularly in resource-constrained or real-time environments.