Tohru Kawasaki

Papers

Total Citations

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About

Tohru Kawasaki is a robotics researcher whose work centers on mobile robot localization, navigation, and visual perception systems. His most-cited paper, "Localization and position correction for mobile robot using artificial visual landmarks" (2011, 18 citations), introduces a method to enhance positioning accuracy by integrating artificial visual landmarks with the vSLAM® algorithm. This contribution addresses a fundamental challenge in robotics—reliable self-localization in dynamic environments—by combining landmark-based correction with simultaneous mapping. Kawasaki’s approach improves the precision of robot navigation, making it more robust for real-world applications. While his citation count reflects a focused, early-stage contribution, the work has informed subsequent studies in visual SLAM and landmark-aided localization. His research is particularly relevant for students and engineers working on autonomous systems, offering a practical bridge between theoretical SLAM algorithms and deployable correction techniques. Kawasaki’s work underscores the importance of hybrid methods in achieving reliable robot positioning, a critical step toward fully autonomous mobile robots.