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Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications

Author

Listed:
  • Tao Jin

    (Shanghai University
    National University of Singapore
    National University of Singapore)

  • Zhongda Sun

    (National University of Singapore
    National University of Singapore)

  • Long Li

    (Shanghai University)

  • Quan Zhang

    (Shanghai University)

  • Minglu Zhu

    (National University of Singapore
    National University of Singapore
    NUS Suzhou Research Institute (NUSRI))

  • Zixuan Zhang

    (National University of Singapore
    National University of Singapore)

  • Guangjie Yuan

    (Shanghai University)

  • Tao Chen

    (Soochow University)

  • Yingzhong Tian

    (Shanghai University)

  • Xuyan Hou

    (Harbin Institute of Technology)

  • Chengkuo Lee

    (National University of Singapore
    National University of Singapore
    NUS Suzhou Research Institute (NUSRI))

Abstract

Designing efficient sensors for soft robotics aiming at human machine interaction remains a challenge. Here, we report a smart soft-robotic gripper system based on triboelectric nanogenerator sensors to capture the continuous motion and tactile information for soft gripper. With the special distributed electrodes, the tactile sensor can perceive the contact position and area of external stimuli. The gear-based length sensor with a stretchable strip allows the continuous detection of elongation via the sequential contact of each tooth. The triboelectric sensory information collected during the operation of soft gripper is further trained by support vector machine algorithm to identify diverse objects with an accuracy of 98.1%. Demonstration of digital twin applications, which show the object identification and duplicate robotic manipulation in virtual environment according to the real-time operation of the soft-robotic gripper system, is successfully created for virtual assembly lines and unmanned warehouse applications.

Suggested Citation

  • Tao Jin & Zhongda Sun & Long Li & Quan Zhang & Minglu Zhu & Zixuan Zhang & Guangjie Yuan & Tao Chen & Yingzhong Tian & Xuyan Hou & Chengkuo Lee, 2020. "Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19059-3
    DOI: 10.1038/s41467-020-19059-3
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    Cited by:

    1. Ningning Bai & Yiheng Xue & Shuiqing Chen & Lin Shi & Junli Shi & Yuan Zhang & Xingyu Hou & Yu Cheng & Kaixi Huang & Weidong Wang & Jin Zhang & Yuan Liu & Chuan Fei Guo, 2023. "A robotic sensory system with high spatiotemporal resolution for texture recognition," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Zhao, Kun & Song, Zhenhua & Sun, Wanru & Gao, Wei & Guo, Junhong & Zhang, Kewei, 2024. "Flexible neodymium iron boron/polyvinyl chloride (Nd2Fe14B/PVC) composite film based hybrid nanogenerator for efficient mechanical energy harvesting," Energy, Elsevier, vol. 300(C).
    3. Yijia Lu & Han Tian & Jia Cheng & Fei Zhu & Bin Liu & Shanshan Wei & Linhong Ji & Zhong Lin Wang, 2022. "Decoding lip language using triboelectric sensors with deep learning," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Rui Chen & Tao Luo & Jincheng Wang & Renpeng Wang & Chen Zhang & Yu Xie & Lifeng Qin & Haimin Yao & Wei Zhou, 2023. "Nonlinearity synergy: An elegant strategy for realizing high-sensitivity and wide-linear-range pressure sensing," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    5. Yuanxi Zhang & Chengfeng Pan & Pengfei Liu & Lelun Peng & Zhouming Liu & Yuanyuan Li & Qingyuan Wang & Tong Wu & Zhe Li & Carmel Majidi & Lelun Jiang, 2023. "Coaxially printed magnetic mechanical electrical hybrid structures with actuation and sensing functionalities," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    6. Haitao Yang & Shuo Ding & Jiahao Wang & Shuo Sun & Ruphan Swaminathan & Serene Wen Ling Ng & Xinglong Pan & Ghim Wei Ho, 2024. "Computational design of ultra-robust strain sensors for soft robot perception and autonomy," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    7. Wenbo Liu & Youning Duo & Jiaqi Liu & Feiyang Yuan & Lei Li & Luchen Li & Gang Wang & Bohan Chen & Siqi Wang & Hui Yang & Yuchen Liu & Yanru Mo & Yun Wang & Bin Fang & Fuchun Sun & Xilun Ding & Chi Zh, 2022. "Touchless interactive teaching of soft robots through flexible bimodal sensory interfaces," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    8. Mengjiao Li & Hong-Wei Lu & Shu-Wei Wang & Rei-Ping Li & Jiann-Yeu Chen & Wen-Shuo Chuang & Feng-Shou Yang & Yen-Fu Lin & Chih-Yen Chen & Ying-Chih Lai, 2022. "Filling the gap between topological insulator nanomaterials and triboelectric nanogenerators," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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