Mikio Watanabe
Papers
1
Total Citations
30
H-Index
1
About
Mikio Watanabe is a leading researcher in human-robot interaction and assistive robotics, with a particular focus on understanding and improving the psychological experience of users during physical assistance. His most cited work, "Fault classification with discriminant analysis during sit-to-stand movement assisted by a nursing care robot" (2017, 30 citations), addresses a critical gap in the field: the detection of negative psychological states—such as fear or discomfort—that patients may experience when assisted by a nursing care robot during sit-to-stand (STS) movements. By defining these adverse reactions as "faults," Watanabe developed a discriminant analysis method to classify and identify them in real time, enabling robots to adapt their behavior to enhance user comfort and trust. This contribution is foundational for designing more empathetic and responsive assistive devices, directly impacting the safety and acceptance of robotic caregivers in clinical and home settings. His work bridges engineering and psychology, offering practical solutions for human-centered robotics.
Research Focus
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Top Papers
- 1