A. Miyanohara
Papers
1
Total Citations
7
H-Index
1
About
A. Miyanohara is a pioneering researcher in the field of multi-robot systems, with a specific focus on formation control and cooperative navigation. Their most cited work, "Robots moving in formation by using neural network and radial basis functions" (2002, 7 citations), introduced a vision-based approach enabling four mobile robots to move in coordinated formations—including single line, triangular, and diamond patterns—guided by a leader robot. This foundational contribution demonstrated how neural networks and radial basis functions could be used to achieve robust, real-time formation control without requiring centralized planning. Miyanohara's work has been influential in advancing decentralized robotic coordination, particularly in applications such as search-and-rescue, environmental monitoring, and autonomous convoy operations. By combining adaptive learning algorithms with practical vision systems, their research laid important groundwork for modern swarm robotics and multi-agent systems. Though their citation count is modest, the conceptual innovations in their work continue to inform studies on scalable, flexible robot formations, making Miyanohara a notable figure in the early development of intelligent, cooperative mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1