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Learning efficient navigation in vortical flow fields

Navigation and trajectory planning in environments with background flow, relevant for robotics, are challenging provided information only on local surrounding. The authors propose a reinforcement learning approach for time-efficient navigation of a swimmer through unsteady two-dimensional flows.

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書誌詳細
主要な著者: Peter Gunnarson, Ioannis Mandralis, Guido Novati, Petros Koumoutsakos, John O. Dabiri
フォーマット: Artigo
言語:Inglês
出版事項: Nature Portfolio 2021-12-01
シリーズ:Nature Communications
オンライン・アクセス:https://doi.org/10.1038/s41467-021-27015-y
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