Tomoaki Kumagai
Advanced Telecommunications Research Institute International
Papers
2
Total Citations
7
H-Index
2
About
Tomoaki Kumagai is a researcher specializing in wireless communication systems for service robotics, with a focus on hierarchical and multi-layered network architectures. His work addresses critical challenges in robotic wireless networks (RWNs), where multiple service robots must efficiently acquire and share map information for safe navigation. Kumagai’s key contributions include developing a random clustering scheme with connectivity-threshold-based cluster head selection, which optimizes data transmission and resource allocation in dense robotic environments. His 2018 paper, "Efficient Acquisition of Map Information Using Local Data Sharing Over Hierarchical Wireless Network for Service Robots" (5 citations), introduces a method to improve map data download efficiency by leveraging local data sharing, mitigating radio resource constraints. Another notable work, "Random Clustering Scheme with Connectivity-Threshold Based Cluster Head Selection for Multi-Layered Wireless Robotic Networks" (2 citations), further advances network scalability and reliability. Though early in his career, Kumagai’s research lays foundational groundwork for scalable, real-time communication in autonomous robotic systems, with potential applications in logistics, healthcare, and smart environments. His work is particularly relevant for students and researchers exploring the intersection of wireless networking and multi-robot coordination.
Research Focus
Key Achievements
Top Papers
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- 2