Shigehito NAKATANI
Papers
1
Total Citations
7
H-Index
1
About
Shigehito Nakatani is a researcher in swarm robotics and autonomous systems, with a focus on decentralized coordination and adaptive behaviors in multi-robot teams. His most cited work, "Adaptive role assignment for self-organized flocking of a real robotic swarm" (2016, 7 citations), introduces a novel algorithm that enables robots to dynamically allocate roles—such as leader or follower—without centralized control, allowing for robust and scalable flocking in real-world environments. This contribution addresses a key challenge in swarm intelligence: maintaining cohesion and efficiency while adapting to changing conditions. Nakatani’s research emphasizes practical implementation, bridging theory and real robotic hardware. His work has been cited in studies on swarm robotics, multi-agent systems, and bio-inspired algorithms, highlighting its relevance to both foundational research and applied robotics. By demonstrating how simple local rules can produce complex group behaviors, Nakatani advances the design of resilient, self-organizing robotic swarms for tasks like exploration, surveillance, and environmental monitoring.
Research Focus
Key Achievements
Top Papers
- 1