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

Zhongda SunDepartment of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117576 SingaporeMinglu ZhuInstitute 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 SingaporeZixuan ZhangDepartment of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117576 SingaporeZhaocong ChenDepartment of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117576 SingaporeQiongfeng ShiDepartment of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117576 SingaporeXuechuan ShanInstitute 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 SingaporeChen‐Hua YeowDepartment of Biomedical Engineering National University of Singapore #04‐08, Engineering Block 4, 4 Engineering Drive 3 Singapore 117583 SingaporeChengkuo LeeInstitute 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

2021en

ABI

Annotatsiya

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.

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DOI: 10.1002/advs.202100230

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