Rio Aoki
Papers
2
Total Citations
13
H-Index
2
About
Rio Aoki is a researcher focused on the intersection of augmented reality (AR) and robotics, with key contributions to robot navigation and self-position estimation. Aoki’s work centers on using AR technologies to enhance robotic vision and spatial awareness. In their most-cited paper, "Self-Position Estimation based on Road Sign using Augmented Reality Technology" (2018, 7 citations), Aoki developed a system that employs ARtoolkit to extract 3D coordinates from road signs, enabling mobile robots to perform accurate mapping and localization. This work demonstrates a novel application of AR for autonomous navigation. Aoki’s second major contribution, "Geometrical Optics Analysis of Projected-Marker Augmented Reality System for Robot Navigation" (2018, 6 citations), introduces an optically-projected-marker system that uses projectors to generate AR markers for robot vision. By formulating the geometrical configurations of projected and captured images, Aoki provided a foundational framework for integrating AR into robotic navigation without physical markers. While Aoki’s citation counts are modest, their research represents an early and innovative step toward practical AR-assisted robotics, offering valuable insights for students and researchers exploring the synergy between augmented reality and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2