Hiroto Ando

Papers

Total Citations

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About

Hiroto Ando is a robotics researcher whose work focuses on advancing autonomous navigation for tele-presence and mobile robots. His most-cited paper, "Improvement of a tele-presence robot autonomous navigation Using SLAM algorithm" (2016, 10 citations), addresses a critical challenge in indoor robotics: enabling robots to independently map and navigate complex environments. By integrating SLAM (Simultaneous Localization and Mapping) algorithms, Ando’s research enhances the ability of moving robots to explore and interact with their surroundings without constant human control. This contribution is particularly significant as robotics becomes more accessible to the public, bridging the gap between advanced processing power and practical, user-friendly applications. Ando’s work underscores the importance of robust navigation systems for tele-presence robots, which are increasingly used in remote collaboration, healthcare, and service industries. His findings offer a foundation for future developments in autonomous indoor robotics, emphasizing efficiency and reliability. With a growing citation base, Ando continues to influence the field, making strides toward more intelligent and self-sufficient robotic systems that can seamlessly operate in human-centered spaces.