Yoshiaki Hayashi
Papers
23
Total Citations
840
H-Index
11
About
Yoshiaki Hayashi is a pioneering researcher in the field of assistive robotics and human-machine interfaces, with a particular focus on upper-limb power-assist exoskeleton systems and biosignal-based control methodologies. His most influential contribution, "An EMG-Based Control for an Upper-Limb Power-Assist Exoskeleton Robot" (2012), has garnered over 528 citations, establishing him as a leading authority in electromyography (EMG)-driven robotic assistance for elderly and physically impaired individuals. Hayashi's work uniquely bridges neuroscience and robotics by integrating both EMG and EEG signals to decode user motion intentions with greater reliability, as demonstrated through his hybrid bio-signal control frameworks. A particularly innovative strand of his research introduces the concept of "perception-assist," enabling exoskeletons to enhance not only physical movement but also users' environmental awareness and safe interaction. He has also made significant contributions to addressing practical challenges such as muscle fatigue compensation using fuzzy-neuro systems and tremor suppression in seven-degree-of-freedom exoskeletons. Early work in autonomous vehicle path planning further demonstrates his breadth across intelligent robotic systems. Collectively, Hayashi's research advances the quality of life for physically vulnerable populations through sophisticated, biologically informed robotic technologies.
Research Focus
Key Achievements
Top Papers
- 1An EMG-Based Control for an Upper-Limb Power-Assist Exoskeleton Robot528 citations · 2012
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- 4Motion Estimation Based on EMG and EEG Signals to Control Wearable Robots29 citations · 2013
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- 9Upper-limb tremor suppression with a 7DOF exoskeleton power-assist robot15 citations · 2013
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