50 citations · 50 across the 1 of their papers we have counts for
2 papers
cs.RO2025
Focused Blind Switching Manipulation Based on Constrained and Regional Touch States of Multi-Fingered Hand Using Deep Learning
Satoshi Funabashi, Atsumu Hiramoto, Naoya Chiba +3
To achieve a desired grasping posture (including object position and orientation), multi-finger motions need to be conducted according to the the current touch state. Specifically,…
cs.RO2022★ 50 cited
Multi-Fingered In-Hand Manipulation with Various Object Properties Using Graph Convolutional Networks and Distributed Tactile Sensors
Satoshi Funabashi, Tomoki Isobe, Fei Hongyi +4
Multi-fingered hands could be used to achieve many dexterous manipulation tasks, similarly to humans, and tactile sensing could enhance the manipulation stability for a variety of…