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A Meta-Learning-based Trajectory Tracking Framework for UAVs under
  Degraded Conditions

A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions

30 April 2021
Esen Yel
N. Bezzo
ArXivPDFHTML

Papers citing "A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions"

2 / 2 papers shown
Title
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
Deep Neural Networks for Improved, Impromptu Trajectory Tracking of
  Quadrotors
Deep Neural Networks for Improved, Impromptu Trajectory Tracking of Quadrotors
Qiyang Li
Jingxing Qian
Zining Zhu
Xuchan Bao
M. Helwa
Angela P. Schoellig
27
72
0
20 Oct 2016
1