Yuki Tarutoko

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About

Yuki Tarutoko is a robotics researcher whose work has advanced autonomous navigation for mobile robots operating in unstructured outdoor environments. His primary research areas include simultaneous localization and mapping (SLAM), topological mapping, and sensor-based navigation. Tarutoko’s most influential contribution is a laser rangefinder-based SLAM algorithm, published in 2007, which enables a mobile robot to start in an unknown environment and reliably navigate outdoor courses like the IGVC Navigation Challenge by building a relative obstacle observation profile. This work has garnered 28 citations, reflecting its practical value in field robotics. In a complementary 2006 study (12 citations), Tarutoko introduced a novel method for automatically generating topological maps using Delaunay triangulation from laser rangefinder data alone. This approach simplifies the detection of allowable space, reducing the need for pre-mapped environments. Together, these contributions demonstrate Tarutoko’s focus on creating robust, sensor-driven solutions for real-world robot autonomy, making his work a useful reference for students and researchers in mobile robotics and SLAM.