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Low cost exoskeleton manipulator using bidirectional triboelectric sensors enhanced multiple degree of freedom sensory system

Author

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  • Minglu Zhu

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

  • Zhongda Sun

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

  • Tao Chen

    (Soochow University)

  • Chengkuo Lee

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

Abstract

Rapid developments of robotics and virtual reality technology are raising the requirements of more advanced human-machine interfaces for achieving efficient parallel control. Exoskeleton as an assistive wearable device, usually requires a huge cost and complex data processing to track the multi-dimensional human motions. Alternatively, we propose a triboelectric bi-directional sensor as a universal and cost-effective solution to a customized exoskeleton for monitoring all of the movable joints of the human upper limbs with low power consumption. The corresponding movements, including two DOF rotations of the shoulder, twisting of the wrist, and the bending motions, are detected and utilized for controlling the virtual character and the robotic arm in real-time. Owing to the structural consistency between the exoskeleton and the human body, further kinetic analysis offers additional physical parameters without introducing other types of sensors. This exoskeleton sensory system shows a great potential of being an economic and advanced human-machine interface for supporting the manipulation in both real and virtual worlds, including robotic automation, healthcare, and training applications.

Suggested Citation

  • Minglu Zhu & Zhongda Sun & Tao Chen & Chengkuo Lee, 2021. "Low cost exoskeleton manipulator using bidirectional triboelectric sensors enhanced multiple degree of freedom sensory system," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23020-3
    DOI: 10.1038/s41467-021-23020-3
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    Cited by:

    1. 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.
    2. Zhongda Sun & Minglu Zhu & Xuechuan Shan & Chengkuo Lee, 2022. "Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    3. Shun An & Hanrui Zhu & Chunzhi Guo & Benwei Fu & Chengyi Song & Peng Tao & Wen Shang & Tao Deng, 2022. "Noncontact human-machine interaction based on hand-responsive infrared structural color," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

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