Hiromasa Yanagihara

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About

Hiromasa Yanagihara is a researcher at the forefront of robotics and human-computer interaction, with a focus on bridging the gap between physical presence and digital systems. His work addresses two critical challenges: enabling machines to perceive the world in 3D and facilitating natural human communication across distances. Yanagihara’s most cited paper, “2D to 3D Label Propagation For Object Detection In Point Cloud” (2018, 6 citations), introduces a novel framework that dramatically reduces the cost and time of labeling LiDAR data for object detection. By propagating 2D image labels into 3D space, his method makes training classifiers for autonomous systems far more accessible—a key contribution to the field of robotic perception. In parallel, his invited paper “Issues and Solutions to Informal Communication in Working from Home Using a Telepresence Robot” (2017, 4 citations) tackles the subtle but vital problem of impromptu interaction in remote work. Yanagihara proposes using telepresence robots to recreate the “always-on” connections of a physical office, offering practical solutions for long-term telework. This dual focus—on both machine vision and human-centered robotics—marks him as a versatile thinker whose work has immediate implications for autonomous navigation and the future of distributed collaboration.