Hayato Itsumi
Papers
2
Total Citations
5
H-Index
2
About
Hayato Itsumi is a researcher advancing the intersection of cloud robotics and edge computing, with a focus on enabling real-time computer vision in bandwidth-constrained wireless environments. His work addresses a critical challenge: how to make cloud offloading practical for mobile robotics and augmented reality when network conditions are unreliable. In his 2021 study, Itsumi proposed an "Edge Cloud Ensemble with Motion Vectors" that intelligently adapts object detection to bandwidth fluctuations, allowing smaller, resource-limited edge devices to offload computation without sacrificing performance. Building on this, his 2022 paper introduced a novel attention-based mechanism for video streaming in cloud robotics, learning to prioritize important visual regions for transmission. This approach reduces bandwidth demands while preserving the data critical for robot control and multi-robot coordination. Though early in his career, with his most cited works accumulating 3 and 2 citations respectively, Itsumi’s contributions are foundational to making cloud robotics more efficient and scalable. His research is particularly valuable for students and engineers working on distributed robotic systems, edge AI, and latency-sensitive computer vision applications where wireless reliability remains a bottleneck.
Research Focus
Key Achievements
Top Papers
- 1
- 2