Ryo Tsugita

Papers

Total Citations

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About

Ryo Tsugita is a researcher focused on the intersection of robotics and human-robot interaction, particularly in the domain of autonomous navigation in crowded, pedestrian-rich environments. His primary research areas include mobile robot path planning, obstacle avoidance, and pedestrian detection and tracking. Tsugita’s major contributions lie in developing navigation algorithms that enable service robots to move safely and efficiently alongside humans by adapting to the natural flow of pedestrian traffic. His work on the artificial potential field method, detailed in his most-cited papers (2016–2017), has been instrumental in creating more intuitive and collision-free robot movement in shared spaces. To enhance situational awareness, he also pioneered methods for pedestrian detection and tracking using multiple 2D laser range scanners, a critical function for preventing accidents. With over 30 citations across his key publications, Tsugita’s research has laid foundational groundwork for the next generation of autonomous service robots, directly impacting the design of robots that can seamlessly coexist with people in public spaces.