A Vision-Based Tactile Sensing System for Multimodal Contact Information Perception via Neural Network-Reference-Cited by-同舟云学术

A Vision-Based Tactile Sensing System for Multimodal Contact Information Perception via Neural Network

Published:2024 Issue: Volume:73 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Xu Weiliang¹^ORCID,Zhou Guoyuan¹^ORCID,Zhou Yuanzhi¹^ORCID,Zou Zhibin¹^ORCID,Wang Jiali¹^ORCID,Wu Wenfeng¹^ORCID,Li Xinming¹^ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, China

Funder

Guangdong Basic and Applied Basic Research Foundation

Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices

South China Normal University Start-Up Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10599274.pdf?arnumber=10599274

Reference47 articles.

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3. Skin‐Inspired Piezoelectric Tactile Sensor Array with Crosstalk‐Free Row+Column Electrodes for Spatiotemporally Distinguishing Diverse Stimuli

4. Development of Triaxis Electromagnetic Tactile Sensor With Adjustable Sensitivity and Measurement Range for Robot Manipulation

5. Energy-efficient, fully flexible, high-performance tactile sensor based on piezotronic effect: Piezoelectric signal amplified with organic field-effect transistors