Teruo Higashino

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About

Teruo Higashino is a leading researcher in distributed systems, mobile robotics, and indoor spatial intelligence. His work bridges the gap between autonomous navigation and real-world sensing, with a particular focus on generating accurate indoor maps and monitoring human activity in home environments. In his highly cited 2018 paper, “Indoor Map Generation from Multiple LIDAR Point Clouds,” Higashino introduced a novel algorithm that integrates 2D LIDAR data using the iterative closest point (ICP) method, advancing mobile robot SLAM for complex indoor spaces. This work, with 9 citations, has influenced subsequent research in autonomous mapping and localization. He also contributed to the foundational understanding of stabilization, safety, and security in distributed systems (2013, 7 citations). In a more applied vein, his 2016 paper on “In-home Activity and Micro-motion Logging Using Mobile Robot with Kinect” (3 citations) proposes using home robots to track elderly daily activities via skeleton recognition, envisioning a future where robots seamlessly support aging populations. Higashino’s research is notable for its practical impact on robotics and smart environments, earning him recognition as a key figure in developing technologies that make indoor spaces safer, more navigable, and responsive to human needs.