Hirohisa ONEDA

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About

Hirohisa Oneda is a robotics researcher focused on advancing mobile robot navigation and localization in real-world environments. His key research areas include robust navigation methods, sensor fusion, and educational robotics. Oneda’s major contributions center on leveraging environmental magnetic fields as reliable landmarks for robot positioning, addressing critical challenges in scan matching and posture estimation. His most cited work, "A Robust Navigation Method for Mobile Robots in Real-World Environments" (2014, 9 citations), introduces a novel approach combining a 3-axis magnetic sensor with a laser range scanner to use ambient magnetic fields as key landmarks, significantly improving navigation reliability in complex settings. Building on this, his 2018 paper "Enhancement of Scan Matching Using an Environmental Magnetic Field" (3 citations) further refines localization accuracy by mitigating unexpected posture shifts—a persistent issue in conventional scan matching. Notably, Oneda also contributed to STEM education through his 2008 work "Development of Mobile Robot for Mechatronics Education by Experience" (2 citations), which designed a motivational mobile robot platform for technical high school students using Keller’s ARCS model. With a total of 14 citations across his top papers, Oneda’s research demonstrates practical impact in both autonomous robotics and educational technology.