Tactile Surface Roughness Categorization With Multineuron Spike Train Distance-Reference-Cited by-同舟云学术

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Tactile Surface Roughness Categorization With Multineuron Spike Train Distance

Published:2021-10 Issue:4 Volume:18 Page:1835-1845
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Yi Zhengkun^ORCID,Xu Tiantian^ORCID,Guo Shifeng^ORCID,Shang Wanfeng^ORCID,Wu Xinyu^ORCID

Funder

International Science & Technology Cooperation Program of China

NSFC-Shenzhen Robotics Research Center Project

Science and Technology Innovation Commission of Shenzhen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/9559726/09199269.pdf?arnumber=9199269

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classification of surface roughness for milled A6061 aluminum alloy based on depth map models with convolutional neural networks;Forschung im Ingenieurwesen;2024-08-12

2. Tactile-GAT: Tactile Graph Attention Networks for Robot Tactile Perception Classification;2023-08-31

3. Attention-enhanced BLSTM Network for Liquid Volume Estimation based on Tactile Sensing;2023 IEEE International Conference on Real-time Computing and Robotics (RCAR);2023-07-17

4. Biomimetic strategies and technologies for artificial tactile sensory systems;Trends in Biotechnology;2023-07

5. Surface roughness classification of electro discharge machined surfaces with deep ensemble learning;Measurement;2023-06

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