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https://doi.org/10.1002/advs.202100230
Title: | Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self-Powered Sensor Enhanced Soft Robotic Manipulator | Authors: | Sun, Zhongda Zhu, Minglu Zhang, Zixuan Chen, Zhaocong Shi, Qiongfeng Shan, Xuechuan Yeow, Raye Chen Hua Lee, Chengkuo |
Keywords: | artificial intelligence object recognition soft manipulator triboelectric virtual/augmented reality |
Issue Date: | 26-May-2021 | Publisher: | John Wiley and Sons Inc | Citation: | Sun, Zhongda, Zhu, Minglu, Zhang, Zixuan, Chen, Zhaocong, Shi, Qiongfeng, Shan, Xuechuan, Yeow, Raye Chen Hua, Lee, Chengkuo (2021-05-26). Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self-Powered Sensor Enhanced Soft Robotic Manipulator. Advanced Science 8 (14) : 2100230. ScholarBank@NUS Repository. https://doi.org/10.1002/advs.202100230 | Rights: | Attribution 4.0 International | Abstract: | Rapid advancements of artificial intelligence of things (AIoT) technology pave the way for developing a digital-twin-based remote interactive system for advanced robotic-enabled industrial automation and virtual shopping. The embedded multifunctional perception system is urged for better interaction and user experience. To realize such a system, a smart soft robotic manipulator is presented that consists of a triboelectric nanogenerator tactile (T-TENG) and length (L-TENG) sensor, as well as a poly(vinylidene fluoride) (PVDF) pyroelectric temperature sensor. With the aid of machine learning (ML) for data processing, the fusion of the T-TENG and L-TENG sensors can realize the automatic recognition of the grasped objects with the accuracy of 97.143% for 28 different shapes of objects, while the temperature distribution can also be obtained through the pyroelectric sensor. By leveraging the IoT and artificial intelligence (AI) analytics, a digital-twin-based virtual shop is successfully implemented to provide the users with real-time feedback about the details of the product. In general, by offering a more immersive experience in human–machine interactions, the proposed remote interactive system shows the great potential of being the advanced human–machine interface for the applications of the unmanned working space. © 2021 The Authors. Advanced Science published by Wiley-VCH GmbH | Source Title: | Advanced Science | URI: | https://scholarbank.nus.edu.sg/handle/10635/233170 | ISSN: | 2198-3844 | DOI: | 10.1002/advs.202100230 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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