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Deep learning reduces sensor requirements for gust rejection on a small
  uncrewed aerial vehicle morphing wing
v1v2 (latest)

Deep learning reduces sensor requirements for gust rejection on a small uncrewed aerial vehicle morphing wing

6 April 2023
Kevin P. T. Haughn
C. Harvey
D. J. Inman
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Deep learning reduces sensor requirements for gust rejection on a small uncrewed aerial vehicle morphing wing"

5 / 5 papers shown
Title
A Perspective on Machine Learning Methods in Turbulence Modelling
A Perspective on Machine Learning Methods in Turbulence Modelling
Andrea Beck
Marius Kurz
AI4CE
74
101
0
23 Oct 2020
1D Convolutional Neural Networks and Applications: A Survey
1D Convolutional Neural Networks and Applications: A Survey
S. Kiranyaz
Onur Avcı
Osama Abdeljaber
T. Ince
Moncef Gabbouj
D. Inman
3DV
85
1,926
0
09 May 2019
Generalization through Simulation: Integrating Simulated and Real Data
  into Deep Reinforcement Learning for Vision-Based Autonomous Flight
Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight
Katie Kang
Suneel Belkhale
G. Kahn
Pieter Abbeel
Sergey Levine
55
126
0
11 Feb 2019
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
135
2,912
0
05 May 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
127
12,231
0
19 Dec 2013
1