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About

Hiroshi Hisahara is a robotics researcher whose work focuses on human-robot interaction, autonomous navigation, and safe robot operation in dynamic environments. His major contributions include developing recovery functions for human-following robots that lose sight of their target, particularly around corners—a common challenge in real-world tracking. By proposing a human trajectory model for turning corners, his research enables robots to predict and reacquire lost targets, significantly improving follow-me capabilities. His work on human avoidance functions for robotic vacuum cleaners, such as the Roomba, demonstrates practical applications of environmental sensors to prevent collisions and enhance human comfort. Hisahara also advanced virtual environment testing for robot control programs, using multiple Kinect v2 sensors to expand measurement ranges and create realistic 3D point cloud-based simulations for safe algorithm validation. With key papers accumulating 7, 5, and 4 citations, his research has influenced the development of more intelligent, socially aware domestic robots. Hisahara’s achievements bridge the gap between theoretical tracking algorithms and real-world deployment, making robots more reliable and considerate in human-centered spaces.