Qi Meng, Ren Yanyun, Sun Tao, Xu Runze, Lv Ziyu, Zhou Ye, Han Su-Ting
College of Physical Science and Technology, Bohai University, Jinzhou 121013, P. R. China.
Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen 518060, P. R. China.
Sci Adv. 2025 Jun 6;11(23):eadt3068. doi: 10.1126/sciadv.adt3068. Epub 2025 Jun 4.
Anemotaxis behaviors inspired by rats have tremendous potential in efficiently processing perilous search and rescue operations in the physical world, but there is still lack of hardware components that can efficiently sense, encode, and recognize wind signal. Here, we report an artificial vibrissal system consisting of a self-powered carbon black sensor and threshold-switching HfO memristor. By integrating a forming HfO memristor with a self-powered angle-detecting hydro-voltaic sensor, the spiking sensory neuron can synchronously perceive and encode wind, humidity, and temperature signals into spikes with different frequencies. Furthermore, to validate the self-powered artificial vibrissal system with anemotaxis behavior, a robotic car with equipped artificial vibrissal system tracks trajectory toward the air source has been demonstrated. This design not only addresses the high energy consumption and low computing issues of traditional sensory system but also introduces the multimode functionalities, therefore promoting the construction of neuromorphic perception systems for neurorobotics.
受大鼠启发的风趋性行为在高效处理现实世界中的危险搜索和救援行动方面具有巨大潜力，但仍缺乏能够有效感知、编码和识别风信号的硬件组件。在此，我们报告了一种由自供电炭黑传感器和阈值开关氧化铪忆阻器组成的人工触须系统。通过将形成氧化铪忆阻器与自供电角度检测水电传感器集成，尖峰感觉神经元可以将风、湿度和温度信号同步感知并编码为不同频率的尖峰。此外，为了验证具有风趋性的自供电人工触须系统，已展示了一辆配备人工触须系统的机器人汽车朝着空气源跟踪轨迹。这种设计不仅解决了传统传感系统的高能耗和低计算问题，还引入了多模式功能，从而推动了用于神经机器人的神经形态感知系统的构建。
