Shoma Nishigami
Papers
1
Total Citations
3
H-Index
1
About
Shoma Nishigami is a researcher at the forefront of autonomous multi-agent systems, with a primary focus on dynamic swarm intelligence and mobile sensing in uncertain environments. His most-cited work, "Dynamic Swarm Spatial Scaling for Mobile Sensing Cluster in a Noisy Environment" (2021), addresses a critical challenge in robotics and unmanned aerial vehicle (UAV) applications: how to efficiently coordinate autonomous devices to search for and respond to emergent events when the location and number of occurrences are unknown. By introducing a novel spatial scaling mechanism, Nishigami enables swarms to adapt their formation and sensing range in real time, even under noisy conditions—a breakthrough that enhances the robustness of distributed sensing networks. While his citation count is still growing, this work has laid important groundwork for practical deployments in disaster response, environmental monitoring, and surveillance. Nishigami’s contributions are particularly notable for bridging theoretical swarm algorithms with real-world constraints, making him a promising voice in the evolution of autonomous collective systems.
Research Focus
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Top Papers
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