Yoshiaki Terashima

Papers

Total Citations

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About

Yoshiaki Terashima is a researcher focused on advancing autonomous robotic systems, particularly in the domains of security, patrol, and service robotics. His primary research areas include human detection using 2D-LiDAR technology and the development of autonomous carts for applications such as transport, guidance, delivery, and security patrol. Terashima’s major contribution lies in creating robust methods for detecting humans—including standing individuals and potentially vulnerable persons like elderly wanderers—using 2D-LiDAR sensors, which are critical for safe autonomous navigation. His most-cited work, "A Method for Detecting Human by 2D-LiDAR" (2022, 8 citations), introduces a patrol system capable of identifying suspicious but harmless individuals, addressing a key challenge in real-world robotic deployment. A subsequent study (2023, 3 citations) extends this to standing human detection, enhancing the reliability of autonomous carts in dynamic environments. Terashima’s research directly supports the integration of autonomous vehicles into everyday settings, improving safety and functionality for security and service robots. His work is notable for its practical focus on low-cost, sensor-based solutions that enable robots to operate alongside humans without collision or alarm.