Zhu Shanshan, Li Yuanheng, Yelemulati Huoerhute, Deng Xinping, Li Yongcheng, Wang Jingjing, Li Xiaojian, Li Guanglin, Gkoupidenis Paschalis, Tai Yanlong
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), and the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518055, China.
Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, SIAT, CAS, Shenzhen 518055, China.
Sci Adv. 2022 Oct 28;8(43):eabo5314. doi: 10.1126/sciadv.abo5314. Epub 2022 Oct 26.
Flexible tactile neuromorphic devices are becoming important as the impetus for the development of human-machine collaboration. However, accomplishing and further transcending human intelligence with artificial intelligence still confront many barriers. Here, we present a self-powered stretchable three-dimensional remote tactile device (3D-RTD) that performs the depth-of-field (DOF) sensation of external mechanical motions through a conductive-dielectric heterogeneous structure. The device can build a logic relationship precisely between DOF motions of an external active object and sensory potential signals of bipolar sign, frequency, amplitude, etc. The sensory mechanism is revealed on the basis of the electrostatic theory and multiphysics modeling, and the performance is verified via an artificial-biological hybrid system with micro/macroscale interaction. The feasibility of the 3D-RTD as an obstacle-avoidance patch for the blind is systematically demonstrated with a rat. This work paves the way for multimodal neuromorphic device that transcends the function of a biological one toward a new modality for brain-like intelligence.
随着人机协作发展的推动，柔性触觉神经形态器件正变得日益重要。然而，利用人工智能实现并进一步超越人类智能仍面临许多障碍。在此，我们展示了一种自供电的可拉伸三维远程触觉设备（3D-RTD），它通过导电-介电异质结构对外界机械运动进行景深（DOF）感知。该设备能够在外部活动物体的DOF运动与双极符号、频率、幅度等感官电位信号之间精确建立逻辑关系。基于静电理论和多物理场建模揭示了其传感机制，并通过具有微/宏观尺度相互作用的人工-生物混合系统验证了其性能。利用大鼠系统地证明了3D-RTD作为盲人避障贴片的可行性。这项工作为超越生物功能的多模态神经形态器件迈向类脑智能的新模态铺平了道路。
