Hiroshi Mizumoto

Tottori University, University of Electro-Communications

Papers

Total Citations

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About

Hiroshi Mizumoto’s research lies at the intersection of robotic vision and rescue robotics, with a focus on enabling autonomous systems to perceive and navigate complex environments. His most influential work introduces a binocular robot vision system that employs an autonomously moving active viewpoint to simplify stereo correspondence and calculate spatial coordinates of feature points—a contribution that has garnered 19 citations and laid groundwork for shape recognition in robotics. Mizumoto has also advanced rescue robotics through a treaded control system that intelligently switches between tele-operation and autonomous modes based on task and environment, optimizing robot performance in indoor disaster scenarios (18 citations). His efforts extend to developing flexible interfaces for coordinating multiple rescue robots, addressing the critical need for efficient human-robot collaboration during earthquakes and manmade disasters. By bridging vision-based perception and adaptive control, Mizumoto’s work enhances the autonomy and reliability of robots in hazardous settings, supporting search-and-rescue operations. His contributions reflect a dedication to practical, deployable systems that amplify human capabilities in crisis response.