Yuki Tateno

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About

Yuki Tateno’s research focuses on autonomous mobile robotics, with a particular emphasis on vision-based navigation and localization in structured environments. His major contributions lie in developing methods that allow robots to recognize their position and orientation using environmental visual features, without relying on external measurement systems. In his most cited work, “An environmental visual features based navigation for mobile robot in a corridor environment” (2010, 3 citations), Tateno introduced a unified recognition approach for both localization and path following, enabling robust corridor navigation. His earlier paper, “Localization Method for Autonomous Mobile Robot using Visual Features in Environment” (2009, 2 citations), further advanced this vision-based paradigm, demonstrating that a robot could determine its location purely from visual cues in its surroundings. Though his citation counts are modest, Tateno’s work represents foundational steps toward simpler, more autonomous navigation systems—a critical challenge in robotics. His emphasis on eliminating the need for direct measurement highlights a practical, cost-effective approach to mobile robot autonomy. For students and researchers exploring minimal-sensor navigation, Tateno’s contributions offer a clear, principled entry point into vision-based localization.