Hardness Recognition of Robotic Forearm Based on Semi-supervised Generative Adversarial Networks

Hardness Recognition of Robotic Forearm Based on Semi-supervised Generative Adversarial Networks

The hardness recognition is of great significance to tactile sensing and robotic control. The hardness recognition methods based on deep learning have demonstrated a good performance, however, a huge amount of manually labeled samples which require lots of time and labor costs are necessary for the...

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Bibliographic Details
Main Authors:	Xiaoliang Qian, Erkai Li, Jianwei Zhang, Su-Na Zhao, Qing-E Wu, Huanlong Zhang, Wei Wang, Yuanyuan Wu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2019-09-01
Series:	Frontiers in Neurorobotics
Subjects:	tactile sensing hardness recognition deep learning semi-supervised generative adversarial networks
Online Access:	https://www.frontiersin.org/article/10.3389/fnbot.2019.00073/full

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