I. Miyazawa
Papers
1
Total Citations
2
H-Index
1
About
Dr. I. Miyazawa is a leading researcher in safe and trustworthy autonomous systems, with a primary focus on risk assessment methodologies for service robots. Her most significant contribution is the development of "SafeML," a novel framework that extends machine learning safety protocols to enable a unified risk assessment across diverse robotic platforms. This work, published in 2023, addresses a critical gap in the social implementation of robots by providing a standardized approach to modeling and visualizing safety elements for both designers and end-users. By integrating stakeholder perspectives into the risk assessment process, Dr. Miyazawa’s research enhances the transparency and reliability of autonomous systems, directly supporting their safe deployment in real-world environments. Her paper has already garnered attention within the robotics safety community, accumulating 2 citations in its first year. Dr. Miyazawa’s work is foundational for advancing regulatory standards and public trust in service robotics, positioning her as a key voice in the intersection of machine learning safety and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1