Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Chaffre, Thomas"'
Publikováno v:
IFAC-PapersOnLine, Volume 55, Issue 31, 2022
Underwater Unmanned Vehicles (UUVs) have to constantly compensate for the external disturbing forces acting on their body. Adaptive Control theory is commonly used there to grant the control law some flexibility in its response to process variation.
Externí odkaz:
http://arxiv.org/abs/2404.12025
Autor:
Chaffre, Thomas, Wheare, Jonathan, Lammas, Andrew, Santos, Paulo, Chenadec, Gilles Le, Sammut, Karl, Clement, Benoit
Learning-based adaptive control methods hold the premise of enabling autonomous agents to reduce the effect of process variations with minimal human intervention. However, its application to autonomous underwater vehicles (AUVs) has so far been restr
Externí odkaz:
http://arxiv.org/abs/2310.11075
Autor:
Chaffre, Thomas, Moras, Julien, Chan-Hon-Tong, Adrien, Marzat, Julien, Sammut, Karl, Chenadec, Gilles Le, Clement, Benoit
Navigation problems under unknown varying conditions are among the most important and well-studied problems in the control field. Classic model-based adaptive control methods can be applied only when a convenient model of the plant or environment is
Externí odkaz:
http://arxiv.org/abs/2101.12501
Publikováno v:
ICINCO 2020
Transferring learning-based models to the real world remains one of the hardest problems in model-free control theory. Due to the cost of data collection on a real robot and the limited sample efficiency of Deep Reinforcement Learning algorithms, mod
Externí odkaz:
http://arxiv.org/abs/2004.14684
Publikováno v:
ICINCO 2019
In this paper we address the problem of dot painting on a wall by a quadrotor Micro Air Vehicle (MAV), using on-board low cost sensors (monocular camera and IMU) for localization. A method is proposed to cope with uncertainties on the initial positio
Externí odkaz:
http://arxiv.org/abs/1906.06515
Publikováno v:
In IFAC PapersOnLine 2022 55(31):7-12
Publikováno v:
In IFAC PapersOnLine 2021 54(16):333-340
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