Daiki Hirayama

Papers

Total Citations

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About

Daiki Hirayama is a robotics researcher whose work centers on autonomous mobile robot (AMR) localization and navigation, particularly for industrial environments. His key contributions lie in developing practical, vision-based localization systems that leverage existing infrastructure—such as floor markings—to enable robust robot operation in factories. His most-cited study, "Localization Based on Floor Line Map Using Monocular Camera for Factory Autonomous Mobile Robot" (2024), introduces a method that transforms line recognition data from a monocular camera into a bird’s-eye view, integrating it with Monte Carlo Localization to achieve reliable positioning. This approach reduces reliance on expensive sensors, making AMRs more accessible for manufacturing. While his work is still gaining traction, with 1 citation to date, it addresses a critical need for cost-effective, scalable automation solutions. Hirayama’s research bridges computer vision and robotics, offering a practical path toward smarter, self-navigating industrial robots. His focus on real-world deployment and sensor efficiency positions him as an emerging voice in field robotics, with potential for significant impact as factory automation expands.