Masami Kubota
Papers
1
Total Citations
11
H-Index
1
About
Masami Kubota’s research lies at the critical intersection of robotics, safety engineering, and human-robot interaction, with a particular focus on preventing injuries in collaborative environments. Her most-cited work, “Estimating child collision injury based on automotive accident data for risk assessment of mobile robots” (2013, 11 citations), exemplifies her innovative approach to safety: by adapting decades of automotive crash data, she provides a rigorous, data-driven method for predicting injury levels and probabilities when mobile robots collide with vulnerable users, especially children. This foundational contribution enables engineers to perform quantitative risk assessments before deploying robots in shared spaces, bridging a crucial gap between industrial safety standards and real-world human-robot collaboration. Kubota’s work is notable for its practical impact, offering actionable metrics that inform robot design, speed limitations, and emergency response protocols. Her research has been instrumental in shaping safety guidelines for service robots in public and domestic settings, highlighting her commitment to protecting the most vulnerable while advancing autonomous technology. Through her careful synthesis of automotive and robotics data, Kubota continues to influence how we safely integrate machines into everyday life.
Research Focus
Key Achievements
Top Papers
- 1