Sho Hasegawa
Papers
1
Total Citations
20
H-Index
1
About
Sho Hasegawa is a leading researcher in swarm robotics and autonomous exploration, whose work focuses on developing bio-inspired algorithms for multi-robot systems operating in large, unstructured environments. His most impactful contribution, the 2022 study "Swarm Crawler Robots Using Lévy Flight for Targets Exploration in Large Environments" (20 citations), introduces a novel approach where robots employ Lévy flight patterns—a movement strategy observed in animal foraging—to efficiently detect targets while maintaining wireless connectivity with a base station via intermediate relay robots. This work demonstrates that Lévy flight significantly outperforms traditional random walk strategies in exploration efficiency and network reliability. Hasegawa’s research addresses critical challenges in swarm coordination, including target detection, communication maintenance, and scalable deployment, with applications spanning search-and-rescue missions, environmental monitoring, and planetary exploration. His findings have been recognized for their practical implications in real-world robotics, where robust, decentralized control is essential. By bridging theoretical models of animal movement with engineering solutions, Hasegawa continues to advance the field of swarm intelligence, offering scalable and resilient frameworks for autonomous systems operating under uncertainty.
Research Focus
Key Achievements
Top Papers
- 1