Yu Tokumoto
Papers
1
Total Citations
49
H-Index
1
About
Yu Tokumoto is a leading researcher in ubiquitous sensing and multi-view optical imaging, whose work bridges robotics and broadband photonics to create next-generation safety-net sensor networks. His most impactful contribution, the 2021 paper "Robot-assisted, source-camera-coupled multi-view broadband imagers for ubiquitous sensing platform," has garnered 49 citations, highlighting its significance in addressing the critical challenge of capturing comprehensive optical information from arbitrarily structured and located targets. Tokumoto’s key research areas include robot-assisted imaging systems, multi-view broadband monitoring, and source-camera coupling techniques. By integrating robotic assistance with multi-functional photo-imaging, he has pioneered platforms capable of universal, real-time optical surveillance—essential for applications in security, environmental monitoring, and industrial automation. His work stands out for its innovative approach to overcoming the limitations of conventional single-view imagers, enabling dynamic, adaptive sensing across diverse environments. Tokumoto’s achievements underscore his role in advancing the practical deployment of ubiquitous sensor networks, making him a notable figure in the field of intelligent imaging systems.
Research Focus
Key Achievements
Top Papers
- 1