Koshi Asano
Papers
1
Total Citations
3
H-Index
1
About
Koshi Asano is a researcher in robotics and multi-agent systems, with a focus on behavior analysis and data-driven modeling in competitive environments. His work centers on the RoboCup Small Size League, where he has contributed to the detection and classification of basic robotic behaviors from logged data, enabling more systematic analysis of team strategies and individual agent performance. His most-cited paper, "Detection of Basic Behaviors in Logged Data in RoboCup Small Size League" (2009), has garnered 3 citations, reflecting its niche but foundational role in the field. Asano’s research bridges the gap between raw sensor logs and high-level behavioral understanding, offering tools for improving autonomous decision-making in dynamic, adversarial settings. His contributions are particularly valuable for students and researchers interested in sports robotics, behavior recognition, and the practical challenges of deploying multi-robot systems in real-time competitions.
Research Focus
Key Achievements
Top Papers
- 1Detection of Basic Behaviors in Logged Data in RoboCup Small Size League3 citations · 2009