Papers
13
Total Citations
139
H-Index
7
About
Jukai Maeda is a pioneering robotics researcher whose work sits at the compelling intersection of engineering and nursing education. Over more than a decade, Maeda has dedicated his research to developing and refining robot patients — sophisticated humanoid simulators designed to help nursing students and professionals master the critical skill of patient transfer, a physically demanding and injury-prone clinical task. Beginning with foundational design work in 2013 and 2014, Maeda progressively advanced these systems to simulate increasingly realistic patient conditions, including paralysis, pain responses, and varied mobility limitations, giving trainees exposure to diverse clinical scenarios previously impossible to replicate safely. Among his most significant contributions is the integration of inertial measurement units and angular position sensors into robot patients, enabling objective, data-driven evaluation of nursing transfer techniques — a breakthrough that transformed subjective skills assessment into a measurable science. His body of work, accumulating over 130 citations across ten key publications, has directly influenced how nursing education institutions approach simulation-based training globally. Maeda's research addresses urgent real-world challenges including nursing faculty shortages and limited patient access, offering scalable, repeatable, and ethically sound training solutions that ultimately contribute to safer patient care outcomes.
Research Focus
Key Achievements
Top Papers
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- 3Robot Patient Design to Simulate Various Patients for Transfer Training16 citations · 2017
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- 9Design of a robot for patient transfer training7 citations · 2013
- 10Robotics as a Tool in Fundamental Nursing Education6 citations · 2014