Yuji Ito
Papers
2
Total Citations
28
H-Index
2
About
Yuji Ito is a leading researcher in the field of robotic dexterous manipulation, with a primary focus on vision-based tactile sensing. His work addresses the critical challenge of enabling robot hands to perceive and interact with objects through touch, bridging the gap between visual and tactile feedback. Ito’s major contributions center on developing innovative methods for estimating contact states and object shapes using a unique vision-based fluid-type tactile sensor. This sensor, which employs an elastic transparent membrane with a dotted pattern and a translucent red fluid, allows for precise shape-sensing and irregularity detection during manipulation tasks. His seminal papers, including “Contact State Estimation by Vision-Based Tactile Sensors for Dexterous Manipulation with Robot Hands Based on Shape-Sensing” (2011, 15 citations) and “Shape sensing by vision-based tactile sensor for dexterous handling of robot hands” (2010, 13 citations), have laid foundational groundwork for integrating tactile perception into robotic systems. Though his citation counts are modest, Ito’s work is notable for its practical, sensor-driven approach to enhancing robot hand dexterity, making him a key figure in advancing tactile sensing technologies for real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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- 2