Naoki Tatebe

Papers

2

Total Citations

14

H-Index

2

About

Naoki Tatebe is a researcher in swarm robotics and wireless communication systems, with a focus on autonomous deployment and cooperative mapping. His most-cited work, "Deployment of wireless mesh network using RSSI-based swarm robots" (2016, 9 citations), introduces a novel method for enabling groups of robots to autonomously establish robust communication networks by leveraging received signal strength indicator (RSSI) data. This contribution addresses critical challenges in disaster response and remote exploration, where infrastructure is absent. In his related study, "Generalized measuring-worm algorithm: high-accuracy mapping and movement via cooperating swarm robots" (2016, 5 citations), Tatebe extends swarm coordination to precise environmental mapping, drawing inspiration from biological locomotion to improve movement efficiency and spatial accuracy. His work demonstrates how simple, local interactions among robots can achieve complex, global objectives—a core principle in swarm intelligence. Though his citation counts are modest, Tatebe’s research lays foundational groundwork for scalable, resilient robotic systems, offering practical algorithms that bridge theoretical swarm behavior with real-world deployment constraints. His contributions are particularly valuable for students and engineers interested in the intersection of robotics, wireless networking, and distributed intelligence.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Deployment of wireless mesh network using RSSI-based swarm robots
9 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 9

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago