Surface Texture Recognition by Deep Learning‐Enhanced Tactile Sensing-Reference-Cited by-同舟云学术

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Surface Texture Recognition by Deep Learning‐Enhanced Tactile Sensing

Published:2021-08-21 Issue:1 Volume:4 Page:2100076
ISSN:2640-4567
Container-title:Advanced Intelligent Systems
language:en
Short-container-title:Advanced Intelligent Systems

Author:

Yan Youcan¹,Hu Zhe¹,Shen Yajing¹²,Pan Jia³^ORCID

Affiliation:

1. Department of Biomedical Engineering City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong China

2. Shenzhen Research Institute City University of Hong Kong Shenzhen 518057 China

3. Department of Computer Science University of Hong Kong Pokfulam Hong Kong China

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.202100076

Reference31 articles.

1. A computer vision approach for textile quality control

2. Automated fabric defect detection—A review

3. Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY

4. Yale-CMU-Berkeley dataset for robotic manipulation research

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1. An MS-TCN based spatiotemporal model with three-axis tactile for enhancing flexible printed circuit assembly;Robotic Intelligence and Automation;2024-07-09

2. Enhanced robotic tactile perception with spatiotemporal sensing and logical reasoning for robust object recognition;Applied Physics Reviews;2024-06-01

3. A Bio‐Inspired Artificial Tactile Sensing System Based on Optical Microfiber and Enhanced by Neural Network;Advanced Sensor Research;2024-04-17

4. Hard magnetics and soft materials—a synergy;Smart Materials and Structures;2024-03-05

5. Enhanced braille recognition based on piezoresistive and piezoelectric dual-mode tactile sensors;Sensors and Actuators A: Physical;2024-02

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