Papers
5
Total Citations
155
H-Index
4
About
Yui Endo is a leading researcher at the intersection of robotics, digital twins, and human-centered cyber-physical systems. Her work focuses on creating safer, more effective human-robot collaboration (HRC) by leveraging digital human models for ergonomic assessment and simulation-based design. Endo’s most cited paper, “Digital Twin-Driven Human Robot Collaboration Using a Digital Human” (2021, 92 citations), pioneers a digital twin framework that enables real-time ergonomic evaluation during collaborative manufacturing, enhancing both worker safety and productivity. She also introduced the novel concept of using humanoid robots as quantitative evaluators of assistive devices (2013, 41 citations), overcoming the limitations of human-subject trials. Endo developed DhaibaWorks (2023, 14 citations), a software platform that integrates hardware and software to realize human digital twins for human-centered cyber-physical systems. Her simulation-based design methods for robotic care devices (2017, 2019) optimize trajectories to reduce physical burden on caregivers and care receivers, directly addressing the needs of aging societies. With a cumulative impact of over 150 citations, Endo’s contributions are shaping the future of safe, human-aware robotics and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1Digital Twin-Driven Human Robot Collaboration Using a Digital Human92 citations · 2021
- 2Humanoid robot as an evaluator of assistive devices41 citations · 2013
- 3DhaibaWorks: A Software Platform for Human-Centered Cyber-Physical Systems14 citations · 2023
- 4
- 5