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<p>The intuitive control of robotic arms requires sensors that can transduce human motion into electrical signals efficiently, reliably and without cumbersome power sources. Conventional wearable wireless sensors depend on batteries and electronics, limiting lifetime and increasing system complexity. Here we report a fully self-powered wireless arm interface that harnesses a sliding triboelectric nanogenerator with strongly coupled magnetic resonances to convert arm motion directly into electrical energy and wireless signals. With a compact 20 × 33 mm² slider, the device generates 608 μJ per motion cycle and achieves 4.5-fold enhancement over conventional sliding triboelectric nanogenerators. After pulse shaping by mechanical switches, it is sufficient to drive both sensing and wireless communication solely from mechanical energy. This approach enables energy management-free, battery-free and real-time control of robotic arms, offering a pathway towards sustainable and compact human–machine interfaces in industrial applications.</p>

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Self-powered triboelectric wireless sensor for robotic arm control via enhanced electromagnetic induction

  • 期刊论文

  • 发表日期：

    2026年3月23日

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  • Shanshan An,
  • Sizhao Liu,
  • Xiang Zhou,
  • Gui Li,
  • Jian Wang,
  • Tao Zhou,
  • Aiqi Yang,
  • Yuhang Zhou,
  • Xianjie Pu,
  • Zhong Lin Wang

摘要

The intuitive control of robotic arms requires sensors that can transduce human motion into electrical signals efficiently, reliably and without cumbersome power sources. Conventional wearable wireless sensors depend on batteries and electronics, limiting lifetime and increasing system complexity. Here we report a fully self-powered wireless arm interface that harnesses a sliding triboelectric nanogenerator with strongly coupled magnetic resonances to convert arm motion directly into electrical energy and wireless signals. With a compact 20 × 33 mm² slider, the device generates 608 μJ per motion cycle and achieves 4.5-fold enhancement over conventional sliding triboelectric nanogenerators. After pulse shaping by mechanical switches, it is sufficient to drive both sensing and wireless communication solely from mechanical energy. This approach enables energy management-free, battery-free and real-time control of robotic arms, offering a pathway towards sustainable and compact human–machine interfaces in industrial applications.