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About

Yasutsugu Nogawa is a researcher specializing in mobile robotics, sensor fusion, and human-robot interaction, with a particular focus on teleoperation and autonomous navigation. His work centers on developing intelligent systems that enable mobile robots to perceive and navigate their environments effectively. Nogawa’s major contributions include pioneering the use of steady-state genetic algorithms for simultaneous localization and mapping (SLAM) in illuminance measurement tasks, allowing robots to build accurate environmental maps using laser range finder data. He also advanced human-friendly interfaces for teleoperated mobile robots by incorporating visual attention mechanisms, aiming to reduce operator confusion through intuitive control. His most cited paper, “Human Three-Dimensional Modeling Based on Intelligent Sensor Fusion for a Tele-operated Mobile Robot” (2007, 5 citations), demonstrates his innovative approach to combining multiple sensor inputs for enhanced robot perception. Additional notable works include “Illuminance Measurement and SLAM of A Mobile Robot based on Computational Intelligence” (2007, 4 citations), which integrates genetic algorithms with self-organizing maps for robust localization. While Nogawa’s citation counts are modest, his research represents foundational steps in applying computational intelligence to practical mobile robotics challenges, particularly in environmental monitoring and human-robot collaboration.