Papers
2
Total Citations
5
H-Index
2
About
Atsushi Shinnoh is a researcher in swarm robotics, focusing on the critical challenge of maintaining coordinated movement and pattern formation despite unreliable wireless communication. His work addresses a fundamental problem in multi-robot systems: how simple, autonomous robots can achieve complex geometric patterns when communication packets are lost. In his most-cited paper (2015, 3 citations), Shinnoh introduced methods for communication packet loss concealment, enabling robots to estimate their positions and continue pattern generation even when data from neighbors is missing. He extended this work in 2016 (2 citations) by developing novel extrapolating methods using exponential functions, allowing robots to predict the positions of lost peers and maintain formation control. While his citation counts are modest, Shinnoh's contributions are technically significant for the practical deployment of swarm robotics in real-world environments where wireless communication is inherently unreliable. His research bridges the gap between theoretical swarm algorithms and the noisy, lossy conditions of actual hardware, making his work valuable for engineers building resilient multi-robot systems.
Research Focus
Key Achievements
Top Papers
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