Kenichi Ohkubo
Papers
2
Total Citations
6
H-Index
2
About
Kenichi Ohkubo is a researcher in robotic tactile sensing, with a focus on enabling machines to perceive object properties through touch. His work centers on developing soft tactile sensor arrays and algorithms that extract spatial-temporal contact information during grasping. Ohkubo’s major contributions include pioneering methods for classifying cylindrical objects by shape, size, and softness using a single-finger robotic hand equipped with a dense array of on-off switches embedded in silicone rubber. His 2007 paper, cited 4 times, demonstrates how spatiotemporal differential data from these sensors can distinguish prism-like shapes, while his 2006 study, with 2 citations, advances simultaneous classification of multiple object properties from local contact patterns. Though his citation counts are modest, Ohkubo’s research is notable for its innovative use of low-cost, binary tactile sensors to achieve nuanced perception—a foundation for future work in dexterous manipulation and soft robotics. His achievements highlight the potential of minimalist sensor designs in extracting rich tactile information, offering a practical pathway for integrating touch into robotic systems.
Research Focus
Key Achievements
Top Papers
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