Papers

2

Total Citations

4

H-Index

2

About

Ryuzaburo Sugino is a researcher focused on bio-inspired robotics and swarm intelligence, with key contributions in modeling complex animal behaviors and developing decentralized multi-robot systems. His work bridges theoretical chaos analysis and practical robot design, particularly in understanding how animate beings adapt to environmental constraints—insights he applies to creating error-tolerant artifacts. Sugino’s notable achievement includes the development of a compact swarm robot system that uses pheromone communication, inspired by insect colonies, for industrial and educational applications. He has advanced this system by improving position measurement and host-robot synchronization, addressing critical challenges in real-time swarm coordination. Though his most-cited papers (each with 2 citations) represent early-stage work, they lay foundational concepts for adaptive robotics and collective behavior. Sugino’s research is particularly relevant for students and engineers interested in biomimicry, chaos theory in robotics, and scalable swarm architectures, offering a unique perspective on how simple local interactions can generate robust, emergent group behaviors.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Realization of fish behavior in an edge region using a mobile robot and its chaos analysis
2 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Anan National College of Technology, National Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago