This project shows our works about multi-fingered hands using deep learning published in prestigious conferences or journals. Hardware platforms used in this project are commercially available; uSkin, distributed 3-axis tactile sensor from XELA Robotics and Allegro Hand, motor-actuated 16-DOF multi-fingered hand from Wonik Robotics.

Multi-Fingered In-Hand Manipulation with Various Object Properties Using Graph Convolutional Networks and Distributed Tactile Sensors

Tactile Object Property Recognition with Geodesical Spatial Graph Edge Features and Multi-Thread Graph Convolutional Network

Focused Blind Switching Manipulation Based on Constrained and Regional Touch States of Multi-Fingered Hand Using Deep Learning

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