Michinobu Kitayama
Papers
1
Total Citations
3
H-Index
1
About
Michinobu Kitayama is a researcher whose work sits at the intersection of robotics, automation, and intelligent systems. His primary research areas include multi-robot coordination, machine learning for robotic control, and real-time estimation in dynamic environments. Kitayama’s most notable contribution is his development of an algorithm for online estimation of arrival time for a robot to a soccer ball in the RoboCup Soccer domain, using a hybrid approach combining Particle Swarm Optimization (PSO) and Support Vector Regression (SVR). This work addresses a critical challenge in multi-robot operations: the need for precise, real-time coordination to enable complex, cooperative tasks. While his most-cited paper has garnered 3 citations, its significance lies in its practical application to competitive robotics, where split-second decision-making is essential. Kitayama’s research has implications beyond sports robotics, offering insights into industrial automation, where multi-robot systems must collaborate efficiently. His work contributes to the broader goal of enabling robots to perform increasingly sophisticated tasks through improved coordination and predictive modeling, making him a thoughtful contributor to the field of intelligent robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1