Taiyu Okatani
Papers
4
Total Citations
40
H-Index
4
About
Taiyu Okatani is a researcher advancing the fields of tactile sensing and legged robotics, with a focus on enhancing robot mobility and safety through intelligent sensor design. His primary research areas include MEMS-based tactile sensors, slip detection, and human-robot interaction for assistive technologies. Okatani’s most notable contribution is the development of a novel tactile sensor capable of simultaneously measuring 6-axis force/torque and the coefficient of static friction, a breakthrough that has garnered 23 citations since 2020. This work provides robots with critical proprioceptive feedback, enabling more precise manipulation and stable locomotion. He has also pioneered methods to evaluate ground slipperiness using MEMS local slip sensors, allowing bipedal robots to discriminate between slippery and non-slippery surfaces during walking and collisions—a key step toward preventing falls in unpredictable environments. His 2017 paper on this topic, with 8 citations, demonstrates how real-time slip detection can be integrated into walking motions. Beyond robotics, Okatani has explored the needs and impressions of communication robots for seniors with mild physical and cognitive disabilities, using the System Usability Scale to assess their acceptance. This work, cited 4 times, informs guidelines for designing assistive robots that support aging populations.
Research Focus
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Top Papers
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