Masaki Ogura
Papers
3
Total Citations
40
H-Index
2
About
Masaki Ogura is a leading researcher at the intersection of bio-inspired robotics and swarm intelligence, with key contributions to cyborg-insect navigation and autonomous swarm guidance. His most notable work introduces a groundbreaking approach to controlling cyborg-insects—hybrid robots that fuse living insects with miniature electronics—enabling them to navigate unknown, obstructed soft terrain with superior adaptability and energy efficiency compared to conventional robots (2025, 29 citations). This work promises transformative applications in search-and-rescue and environmental monitoring. Ogura has also advanced the shepherding problem, a paradigm for guiding swarms using fewer external agents. He developed a novel algorithm for heterogeneous flocks with model-based discrimination (2022, 9 citations), addressing critical challenges in diverting animal flocks to prevent airplane collisions. More recently, he pioneered swarm shepherding using only bearing measurements (2025, 2 citations), eliminating the need for precise sensing and expanding real-world feasibility. Ogura’s research demonstrates how biological principles can inspire robust, scalable robotic systems, making him a rising authority in swarm robotics and bio-hybrid systems.
Research Focus
Key Achievements
Top Papers
- 1Swarm navigation of cyborg-insects in unknown obstructed soft terrain29 citations · 2025
- 2
- 3Swarm shepherding using bearing-only measurements2 citations · 2025