Aerodynamic imaging by mosquitoes inspires a surface detector for autonomous flying vehicles
Aerodynamic imaging by mosquitoes inspires a surface detector for autonomous flying vehicles
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DOI：
10.1126/science.aaz9634
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发表时间：
2020-05-08
期刊：
影响因子：
56.9
通讯作者：
Bomphrey, Richard J.
中科院分区：
文献类型：
--
作者：
Nakata, Toshiyuki;Phillips, Nathan;Bomphrey, Richard J.
一些飞行动物使用主动感知来感知和避开障碍物。夜间活动的蚊子表现出一种行为反应，当视觉不可用时，它们会偏离表面，这表明了一种短距离、机械感官的碰撞避免机制。我们认为，当它们进入地面或墙壁效应时，这种行为是通过感知它们自身诱导的气流模式的调制来调节的。我们使用了基于体内高速运动学测量的低空和近壁飞行的计算流体力学模拟，以量化敏感机械传感天线上自产生的压力和速度线索的变化。我们通过开发一种带有受蚊子启发的感知系统的四轴飞行器，验证了对空气动力学信息进行编码可以避免碰撞的原理。这种低功率传感系统在未来更安全的旋翼机控制系统中有很大的潜力。
Some flying animals use active sensing to perceive and avoid obstacles. Nocturnal mosquitoes exhibit a behavioral response to divert away from surfaces when vision is unavailable, indicating a short-range, mechanosensory collision-avoidance mechanism. We suggest that this behavior is mediated by perceiving modulations of their self-induced airflow patterns as they enter a ground or wall effect. We used computational fluid dynamics simulations of low-altitude and near-wall flights based on in vivo high-speed kinematic measurements to quantify changes in the self-generated pressure and velocity cues at the sensitive mechanosensory antennae. We validated the principle that encoding aerodynamic information can enable collision avoidance by developing a quadcopter with a sensory system inspired by the mosquito. Such low-power sensing systems have major potential for future use in safer rotorcraft control systems.