Yoshinori Suzuki
Advanced Telecommunications Research Institute International
Papers
2
Total Citations
4
H-Index
2
About
Yoshinori Suzuki is a researcher focused on the intersection of wireless communications and robotics, with key contributions in radio environment prediction and multi-layered robotic networks. His work addresses critical challenges in enabling reliable wireless communication for autonomous systems, particularly in industrial settings. Suzuki’s most cited research introduces matrix factorization (MF)-based interpolation of received signal strength (RSS), a novel method for predicting radio environments in factories where transmitters are mounted on moving robots. This approach enhances channel prediction accuracy, supporting the development of robust machine learning-driven communication systems. His other notable work explores multi-channel utilization for local data sharing in multi-layered wireless robotic networks, tackling the scarcity of radio resources as cloud and edge computing generate vast data flows for networked robots. Though his citation counts are currently modest—with two papers each garnering two citations—Suzuki’s contributions are foundational for advancing wireless reliability in dynamic, robot-heavy environments. His research holds promise for improving factory automation and autonomous system coordination, marking him as an emerging voice in the field of wireless robotic communications.
Research Focus
Key Achievements
Top Papers
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- 2