Yuya Sawano

Papers

Total Citations

H-Index

About

Yuya Sawano is a robotics researcher whose work centers on autonomous navigation and human detection for service robots. His most cited paper, "A Method for Detecting Human by 2D-LiDAR" (2022, 8 citations), addresses a critical challenge in developing small robotic carts for transport, guidance, delivery, or patrol. Sawano's key contribution lies in using 2D-LiDAR data to identify and track individuals, particularly vulnerable populations like elderly wanderers, without relying on privacy-intrusive cameras. This work enables patrol robots to distinguish between suspicious behavior and harmless wandering, enhancing safety in care facilities or public spaces. While his citation count is modest, reflecting an early-career stage, his research fills an important niche in human-robot interaction and assistive robotics. By focusing on non-visual sensing, Sawano's approach offers a practical, privacy-preserving solution for real-world deployment, demonstrating how autonomous systems can be both functional and ethically considerate. His work is particularly relevant for students and researchers interested in low-cost sensor integration, social robotics, and aging-in-place technologies.