Chihiro Obayashi
Papers
1
Total Citations
29
H-Index
1
About
Chihiro Obayashi is a researcher at the forefront of rehabilitation robotics and human–machine interaction, with a particular focus on developing intelligent, adaptive training systems. Their most cited work, "Assist-as-needed robotic trainer based on reinforcement learning and its application to dart-throwing" (2014, 29 citations), introduces a novel framework that leverages reinforcement learning to dynamically adjust robotic assistance, ensuring users receive only the support necessary to improve motor skills. This approach not only enhances learning efficiency but also promotes user autonomy, representing a significant advance over traditional fixed-assistance paradigms. By applying this method to a dart-throwing task, Obayashi demonstrated its practical utility in fine motor skill acquisition, laying groundwork for future applications in neurorehabilitation and sports training. With a citation count that underscores the influence of this foundational study, Obayashi’s work has inspired further exploration into personalized, data-driven robotic trainers. Their contributions bridge the gap between machine learning and assistive technology, offering a compelling vision for how robots can adapt to human needs in real time, making them a notable figure in the evolving landscape of interactive robotics.
Research Focus
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Top Papers
- 1