Core Insights - The article discusses the development of a flexible spiking hair sensillum (FISH) inspired by spider hair receptors, which enables non-contact perception with ultra-low power consumption [2][3]. Group 1: FISH Development and Characteristics - FISH can convert airflow signals into electrical pulses in real-time, with a power density of less than 100 nW/cm² and energy consumption of approximately 660 pJ per sensing event, which is two orders of magnitude lower than traditional non-contact sensors [2][11]. - The sensor consists of a hair-like sensor made from polyimide (PI) and a flexible TS memristor, which together facilitate the conversion of airflow information into pulse sequences [4][6]. Group 2: Sensor Performance - The hair-like sensor can detect airflow speeds as low as 0.4 m/s, with a minimum detection limit of 0.04 m/s achievable by adjusting the PI substrate thickness. It has a response time of about 40 milliseconds and a recovery time of 26 milliseconds at 7.0 m/s airflow speed [6]. - The flexible TS memristor exhibits synaptic behavior, switching between high and low resistance states based on applied voltage, allowing it to generate self-oscillating voltage spikes with adjustable frequencies [8][10]. Group 3: NCTP System Integration - The research team integrated the FISH matrix with a spiking neural network (SNN) to create a complete non-contact tactile perception (NCTP) system, mimicking biological sensory processing mechanisms [13]. - The NCTP system demonstrated over 92% accuracy in recognizing non-contact targets by analyzing airflow patterns and directions through collective encoding from multiple FISH sensors [15]. Group 4: Practical Applications - The NCTP system was tested in a spider robot, which successfully responded to visual and non-contact tactile stimuli in various experimental scenarios, showcasing its ability to enhance environmental perception beyond visual limitations [19][20].