Koji Kato
Papers
1
Total Citations
3
H-Index
1
About
Koji Kato is a robotics researcher whose work centers on multirobot systems, omnidirectional vision, and sensor-based localization. His most-cited paper, "Identification and localization of multiple robots using omnidirectional vision sensors" (2003), tackles a foundational challenge in collaborative robotics: enabling robots to recognize and locate one another in dynamic environments. By leveraging omnidirectional cameras, Kato proposed a robust method for robot identification that avoids the limitations of traditional, narrow-field sensors, allowing for more scalable and flexible multirobot coordination. This work, which has accumulated 3 citations, laid early groundwork for decentralized robotic teams operating in real-world settings. Kato’s contributions are particularly notable for addressing the practical hurdles of implementing collaborative behavior—such as reliable inter-robot recognition—that remain critical in fields like swarm robotics and autonomous exploration. While his citation count reflects a focused niche, his research offers enduring value for students and engineers developing multirobot systems, demonstrating how clever sensor integration can solve core problems in perception and teamwork.
Research Focus
Key Achievements
Top Papers
- 1