Yu Koyama
Papers
1
Total Citations
14
H-Index
1
About
Yu Koyama is a researcher in control theory and human–machine interaction, with a focus on safety-critical systems. Their major contribution lies in redefining control barrier functions (CBFs) for human assist control, a framework that ensures safe operation of dynamic systems under human input. In their most-cited work, "Control Barrier Function Based Human Assist Control" (2019, 14 citations), Koyama proposes a novel CBF definition and a corresponding assist control law, proving that the approach can prevent accidents by intervening only when necessary—preserving human autonomy while guaranteeing safety. This work bridges theoretical advances in barrier functions with practical applications in robotics and automation. Although early in their career, Koyama’s contributions are gaining traction in the growing field of safety-aware control, with potential impact on autonomous vehicles, collaborative robots, and rehabilitation devices. Their research exemplifies how rigorous mathematical tools can enhance human–machine collaboration, offering a foundation for future work in assistive and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Control Barrier Function Based Human Assist Control14 citations · 2019