Jyun-ichi Takayanagi
Papers
2
Total Citations
30
H-Index
2
About
Jyun-ichi Takayanagi is a pioneering researcher in tactile sensing and haptic perception, with a focus on developing systems that emulate the human sense of touch. His key research areas include tactile recognition of surface roughness and surface-shape perception, where he bridges psychophysics, neuroscience, and robotics. In his most-cited work, "A Tactile Recognition System Mimicking Human Mechanism for Recognizing Surface Roughness" (2005, 23 citations), Takayanagi formulated a mathematical model based on psychophysical experiments where human subjects discriminated fine steps on aluminum plates. This model replicated real neuron discharge by simulating membrane potential thresholds, offering a biologically inspired framework for tactile sensors. His subsequent study, "A Surface-Shape Recognition System Mimicking Human Mechanism for Tactile Sensation" (2006, 7 citations), addressed the challenge of using tactile sensing for whole-object recognition—a task typically dominated by vision—by easing the integration of local contact data into global shape perception. Though his citation counts are modest, Takayanagi’s contributions are notable for their deep integration of human perceptual mechanisms into engineering solutions, providing foundational insights for robotic tactile systems and haptic interfaces. His work remains influential for researchers exploring biomimetic sensing and human–machine interaction.
Research Focus
Key Achievements
Top Papers
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