Academic Journal
Aerodynamic imaging by mosquitoes inspires a surface detector for autonomous flying vehicles
| العنوان: | Aerodynamic imaging by mosquitoes inspires a surface detector for autonomous flying vehicles |
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| المؤلفون: | Nakata, Toshiyuki, Phillips, Nathan, Simoes, Patricio, Russell, Ian, Cheney, Jorn A., Walker, Simon M., Bomphrey, Richard J. |
| المصدر: | Nakata , T , Phillips , N , Simoes , P , Russell , I , Cheney , J A , Walker , S M & Bomphrey , R J 2020 , ' Aerodynamic imaging by mosquitoes inspires a surface detector for autonomous flying vehicles ' , Science , vol. 368 , no. 6491 , pp. 634-637 . https://doi.org/10.1126/science.aaz9634 |
| سنة النشر: | 2020 |
| الوصف: | 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. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| DOI: | 10.1126/science.aaz9634 |
| الاتاحة: | https://research.brighton.ac.uk/en/publications/35488188-ed45-491b-b816-b6a58056416e https://doi.org/10.1126/science.aaz9634 https://cris.brighton.ac.uk/ws/files/13706172/Nakata_Combined.pdf http://www.scopus.com/inward/record.url?scp=85084942051&partnerID=8YFLogxK |
| Rights: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.8CA5506F |
| قاعدة البيانات: | BASE |
| DOI: | 10.1126/science.aaz9634 |
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