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About

Toshio Moriya is a robotics researcher whose work focuses on autonomous mobile manipulation, human-robot interaction, and intelligent warehouse automation. His most significant contribution is the development of a mobile dual-arm robot for automated order picking in warehouses, integrating self-localization, model-based object recognition, and arm trajectory planning to handle diverse products—a foundational step toward flexible logistics automation. Moriya also advanced human-tracking mobile robots using face detection based on skin color and eye features, enabling robots to follow and photograph individuals. His research extends to 3D indoor model reconstruction through scalable sensing, real-time 2D map updating that distinguishes static from semi-static objects, and robust self-localization in multi-robot environments by detecting other robots from range data. With over 57 citations across his top papers, Moriya’s work has practical impact on industrial robotics and autonomous navigation. His early paper on map of color histograms for robot navigation further demonstrates his long-standing interest in perception-driven mobility. Moriya’s contributions are particularly relevant for students and researchers in robotics, computer vision, and logistics automation, offering concrete solutions for real-world deployment of autonomous systems in complex, dynamic environments.