Literature DB >> 34037331

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

Zhongda Sun1,2,3,4, Minglu Zhu1,2,3,4, Zixuan Zhang1,3,4, Zhaocong Chen1,3,4, Qiongfeng Shi1,2,3,4, Xuechuan Shan2,5, Raye Chen Hua Yeow6, Chengkuo Lee1,2,3,4.   

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.

Entities:  

Keywords:  artificial intelligence; object recognition; soft manipulator; triboelectric; virtual/augmented reality

Year:  2021        PMID: 34037331     DOI: 10.1002/advs.202100230

Source DB:  PubMed          Journal:  Adv Sci (Weinh)        ISSN: 2198-3844            Impact factor:   16.806


  6 in total

1.  Analysis of the Challenges of Artificial Intelligence of Things (AIoT) for the Smart Supply Chain (Case Study: FMCG Industries).

Authors:  Hamed Nozari; Agnieszka Szmelter-Jarosz; Javid Ghahremani-Nahr
Journal:  Sensors (Basel)       Date:  2022-04-11       Impact factor: 3.847

Review 2.  Recent Advances in Self-Powered Piezoelectric and Triboelectric Sensors: From Material and Structure Design to Frontier Applications of Artificial Intelligence.

Authors:  Zetian Yang; Zhongtai Zhu; Zixuan Chen; Mingjia Liu; Binbin Zhao; Yansong Liu; Zefei Cheng; Shuo Wang; Weidong Yang; Tao Yu
Journal:  Sensors (Basel)       Date:  2021-12-17       Impact factor: 3.576

3.  A Motion Capturing and Energy Harvesting Hybridized Lower-Limb System for Rehabilitation and Sports Applications.

Authors:  Shan Gao; Tianyiyi He; Zixuan Zhang; Hongrui Ao; Hongyuan Jiang; Chengkuo Lee
Journal:  Adv Sci (Weinh)       Date:  2021-08-19       Impact factor: 16.806

4.  Wearable Triboelectric Sensors Enabled Gait Analysis and Waist Motion Capture for IoT-Based Smart Healthcare Applications.

Authors:  Quan Zhang; Tao Jin; Jianguo Cai; Liang Xu; Tianyiyi He; Tianhong Wang; Yingzhong Tian; Long Li; Yan Peng; Chengkuo Lee
Journal:  Adv Sci (Weinh)       Date:  2021-11-19       Impact factor: 16.806

5.  Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions.

Authors:  Zhongda Sun; Minglu Zhu; Xuechuan Shan; Chengkuo Lee
Journal:  Nat Commun       Date:  2022-09-05       Impact factor: 17.694

6.  Artificial tactile perception smart finger for material identification based on triboelectric sensing.

Authors:  Xuecheng Qu; Zhuo Liu; Puchuan Tan; Chan Wang; Ying Liu; Hongqing Feng; Dan Luo; Zhou Li; Zhong Lin Wang
Journal:  Sci Adv       Date:  2022-08-05       Impact factor: 14.957

  6 in total

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