Ryozo Kiyohara

Papers

Total Citations

H-Index

About

Ryozo Kiyohara is a researcher focused on advancing autonomous robotic systems for security and patrol applications, with a particular emphasis on human detection using 2D LiDAR technology. His work addresses critical labor shortages in Japan’s security sector, especially in university settings, by developing methods for robots to autonomously identify and monitor individuals. Kiyohara’s major contributions include a pioneering method for detecting stationary and standing humans using 2D LiDAR, which enhances the capability of small robotic carts—used for transport, delivery, and patrol—to navigate safely and identify suspicious but harmless individuals, such as elderly wanderers. His most cited paper, “A Method for Detecting Human by 2D-LiDAR” (2022, 8 citations), lays the groundwork for these systems, while subsequent studies (2023–2024) refine detection accuracy. Though his citation counts are modest, Kiyohara’s work is notable for its practical application in real-world security challenges, bridging the gap between autonomous vehicle technologies and societal needs. His research offers a compelling solution for industries facing labor shortages, making him a key contributor to the field of robotics and human-robot interaction.