Yoshio INOUE
Papers
17
Total Citations
161
H-Index
7
About
Yoshio Inoue is a robotics and human-robot interaction researcher whose work spans tactile sensing, rehabilitation robotics, and wearable motion analysis systems. His most cited contribution, a novel tactile sensor leveraging electromagnetic induction for real-time stick-slip detection (2016, 32 citations), exemplifies his talent for translating fundamental sensing principles into practical robotic manipulation solutions. Equally significant is his sustained focus on rehabilitation engineering: Inoue has designed and validated bimanual upper-limb rehabilitation robots, sit-to-stand training systems, and EMG-driven hemiplegic rehabilitation platforms, employing near-infrared spectroscopy to rigorously assess neurological training outcomes. His wearable sensor systems for human motion capture and humanoid robot imitation control demonstrate a consistent interest in bridging human biomechanics and robotic intelligence without costly laboratory infrastructure. He has also explored sensorless force/torque estimation in master-slave systems and applied soft computing to identify complex dynamic models such as golf swing robots. Accumulating over 130 citations across his top works, Inoue's research collectively advances the frontiers of intelligent sensing, human-centered robot control, and accessible rehabilitation technology — making his profile particularly relevant for students working at the intersection of mechatronics and clinical robotics.
Research Focus
Key Achievements
Top Papers
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- 4Imitation Control for Biped Robot Using Wearable Motion Sensor14 citations · 2010
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- 7Identification of a golf swing robot using soft computing approach8 citations · 2010
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