Hiroki Yamamoto

Kindai University, Nagoya Institute of Technology

Papers

Total Citations

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About

Hiroki Yamamoto’s research bridges human-robot interaction and intelligent systems, with a focus on enhancing remote-controlled robotics through visual and auditory feedback. His work investigates how operators can efficiently control robots by optimizing image display devices to provide high-resolution, depth-rich views of work areas, enabling precise manipulation in complex environments. In his 2011 and 2012 studies, he demonstrated that single-view displays with enhanced depth perception significantly improve task performance in remote-controlled mobile robots. Yamamoto also pioneered interactive machine learning for robotics, developing a Minimum Classification Error (MCE) training algorithm for speaker identification. This approach allows robots to incrementally learn voice characteristics during natural interaction, eliminating the need for explicit user IDs. His contributions have garnered citations from researchers in robotics, human factors, and human-robot collaboration, reflecting their practical relevance. Yamamoto’s work lays groundwork for more intuitive, adaptive robotic systems that seamlessly integrate visual and auditory cues, advancing applications in teleoperation, assistive robotics, and autonomous navigation.