Mizuki Takeda
Papers
7
Total Citations
63
H-Index
5
About
Mizuki Takeda is a leading researcher in embodied AI and human-robot interaction, with a focus on developing transparent, accountable support systems for elderly care. Her work addresses a critical challenge: enabling autonomous robots—particularly those using learning algorithms—to assist with essential movements like sit-to-stand, walking, and sitting, while making their actions understandable and trustworthy to human users. Takeda pioneered methods for real-time user state estimation using a minimal number of sensors, dramatically reducing cost and complexity in assistive robots. Her 2019 paper on accountable system design for embodied AI (15 citations) and her 2018 work on Center of Gravity (CoG) estimation for sit-to-stand support (14 citations) are foundational, proposing architectures that balance autonomy with transparency. Her 2021 study on a standing, walking, and sitting support robot (12 citations) demonstrated practical, sensor-efficient assistance. Takeda also explores verbal guidance systems and AI transparency in healthcare robotics, addressing user anxiety and the "black box" problem of AI-driven care. Her research directly confronts the global shortage of caregivers by creating affordable, explainable robotic assistants that empower elderly independence.
Research Focus
Key Achievements
Top Papers
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- 4Human CoG estimation for assistive robots using a small number of sensors10 citations · 2017
- 5Verbal guidance for sit-to-stand support system8 citations · 2020
- 6AI Transparency for Embodied Systems: A Case Study on Healthcare Robots2 citations · 2019
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