Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator-Reference-Cited by-同舟云学术

Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator

Published:2021-05-26 Issue:14 Volume:8 Page:2100230
ISSN:2198-3844
Container-title:Advanced Science
language:en
Short-container-title:Adv. Sci.

Author:

Sun Zhongda¹²³⁴,Zhu Minglu¹²³⁴,Zhang Zixuan¹³⁴,Chen Zhaocong¹³⁴,Shi Qiongfeng¹²³⁴,Shan Xuechuan²⁵,Yeow Raye Chen Hua⁶,Lee Chengkuo¹²³⁴^ORCID

Affiliation:

1. Department of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117576 Singapore

2. Institute of Manufacturing Technology and National University of Singapore (SIMTech‐NUS) Joint Lab on Large‐Area Flexible Hybrid Electronics National University of Singapore 4 Engineering Drive 3 Singapore 117576 Singapore

3. Center for Intelligent Sensors and MEMS (CISM) National University of Singapore 5 Engineering Drive 1 Singapore 117608 Singapore

4. National University of Singapore Suzhou Research Institute (NUSRI) Suzhou Industrial Park Suzhou 215123 China

5. Printed Intelligent Device Group Singapore Institute of Manufacturing Technology (SIMTech) Agency for Science Technology and Research (A*STAR) Singapore 637662 Singapore

6. Department of Biomedical Engineering National University of Singapore #04‐08, Engineering Block 4, 4 Engineering Drive 3 Singapore 117583 Singapore

Funder

National Research Foundation

National Key Research and Development Program of China

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,Biochemistry, Genetics and Molecular Biology (miscellaneous),General Materials Science,General Chemical Engineering,Medicine (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/advs.202100230

Reference119 articles.

1. Digital Twins: The Convergence of Multimedia Technologies

2. Digital twin-driven product design framework

3. Can constructal law and exergy analysis produce a robust design method that couples with industry 4.0 paradigms? The case of a container house

4. Sensor Data and Information Fusion to Construct Digital-twins Virtual Machine Tools for Cyber-physical Manufacturing

5. How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM

Cited by 133 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. IoT-based automatic deep learning model generation and the application on Empty-dish Recycling Robots;Internet of Things;2024-04

2. Smart Marketing Based on Artificial Intelligence of Things (AIoT) and Blockchain and Evaluating Critical Success Factors;Advances in Marketing, Customer Relationship Management, and E-Services;2024-03-08

3. A triboelectric smart carpet with an optimized braided structure for cruise ship monitoring enabled by deep learning;Materials Today Communications;2024-03

4. Soft Sensors and Actuators for Wearable Human–Machine Interfaces;Chemical Reviews;2024-02-05

5. Digital twin for product versus project lifecycles’ development in manufacturing and construction industries;Journal of Intelligent Manufacturing;2024-01-31