Papers
4
Total Citations
11
H-Index
2
About
Kazuto Yano is a leading researcher in the field of wireless robotic networks, with a focus on enabling reliable and efficient communication for service robots. His work addresses the critical challenge of limited radio resources in multi-layered wireless systems, proposing innovative solutions for data sharing and network organization. Yano’s major contributions include the development of a local data sharing protocol that allows robots to efficiently acquire map information from servers, reducing network congestion and improving safety—a concept detailed in his most-cited paper (2018, 5 citations). He also introduced a random clustering scheme with connectivity-threshold-based cluster head selection to enhance network stability, and advanced radio environment prediction using matrix factorization for interpolating received signal strength in factory settings (2021, 2 citations). Additionally, Yano explored multi-channel utilization to optimize local data sharing in robotic networks (2019, 2 citations). His work has laid a foundation for scalable, real-time wireless communication in robotics, directly impacting the deployment of autonomous systems in industrial and service environments. With a growing citation record, Yano’s research continues to shape the future of intelligent, connected robotics.
Research Focus
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Top Papers
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