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Artificial organic afferent nerves enable closed-loop tactile feedback for intelligent robot

Author

Listed:
  • Shuai Chen

    (Nanyang Technological University
    Soochow University)

  • Zhongliang Zhou

    (Nanyang Technological University)

  • Kunqi Hou

    (Nanyang Technological University)

  • Xihu Wu

    (Nanyang Technological University)

  • Qiang He

    (Nanyang Technological University)

  • Cindy G. Tang

    (Nanyang Technological University)

  • Ting Li

    (Nanyang Technological University)

  • Xiujuan Zhang

    (Soochow University)

  • Jiansheng Jie

    (Soochow University)

  • Zhiyi Gao

    (Chinese Academy of Sciences)

  • Nripan Mathews

    (Nanyang Technological University
    Nanyang Technological University)

  • Wei Lin Leong

    (Nanyang Technological University)

Abstract

The emulation of tactile sensory nerves to achieve advanced sensory functions in robotics with artificial intelligence is of great interest. However, such devices remain bulky and lack reliable competence to functionalize further synaptic devices with proprioceptive feedback. Here, we report an artificial organic afferent nerve with low operating bias (−0.6 V) achieved by integrating a pressure-activated organic electrochemical synaptic transistor and artificial mechanoreceptors. The dendritic integration function for neurorobotics is achieved to perceive directional movement of object, further reducing the control complexity by exploiting the distributed and parallel networks. An intelligent robot assembled with artificial afferent nerve, coupled with a closed-loop feedback program is demonstrated to rapidly implement slip recognition and prevention actions upon occurrence of object slippage. The spatiotemporal features of tactile patterns are well differentiated with a high recognition accuracy after processing spike-encoded signals with deep learning model. This work represents a breakthrough in mimicking synaptic behaviors, which is essential for next-generation intelligent neurorobotics and low-power biomimetic electronics.

Suggested Citation

  • Shuai Chen & Zhongliang Zhou & Kunqi Hou & Xihu Wu & Qiang He & Cindy G. Tang & Ting Li & Xiujuan Zhang & Jiansheng Jie & Zhiyi Gao & Nripan Mathews & Wei Lin Leong, 2024. "Artificial organic afferent nerves enable closed-loop tactile feedback for intelligent robot," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51403-9
    DOI: 10.1038/s41467-024-51403-9
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    References listed on IDEAS

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