Yuya Sasaki

Papers

Total Citations

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About

Yuya Sasaki is a researcher whose work centers on mobile robot localization and autonomous navigation, with a particular focus on leveraging omnidirectional vision systems. His most cited study, "A study of mobile robot localization using omnidirectional images" (2012), addresses a fundamental challenge in robotics: enabling a robot to determine its position within an environment using visual data. By employing an omnidirectional camera—capable of capturing a full 360-degree field of view—Sasaki’s research explores how robots can learn and recognize locations from panoramic images, enhancing their ability to navigate autonomously without relying on external markers or GPS. This contribution is critical for applications in service robotics, exploration, and industrial automation. While his citation count is modest, the work reflects a deep engagement with sensor-based localization techniques that are foundational to modern robotics. Sasaki’s approach underscores the importance of rich visual input for robust spatial awareness, offering a stepping stone for future advances in real-time, vision-driven autonomous systems. His research continues to inspire students and engineers interested in the intersection of computer vision and mobile robotics.