Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds

arXiv:2205.06908v2 Announce Type: replace-cross
Abstract: Executing safe and precise flight maneuvers in dynamic high-speed winds is important for the ongoing commoditization of uninhabited aerial vehicles (UAVs). However, because the relationship between various wind conditions and its effect on aircraft maneuverability is not well understood, it is challenging to design effective robot controllers using traditional control design methods. We present Neural-Fly, a learning-based approach that allows rapid online adaptation by incorporating pretrained representations through deep learning. Neural-Fly builds on two key …

abstract aerial agile aircraft arxiv cs.ai cs.lg cs.ro cs.sy design dynamic eess.sy fly however relationship safe speed type vehicles wind