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of 139
pro vyhledávání: '"Marzat, Julien"'
In the context of ground robot navigation in unstructured hazardous environments, the coupling of efficient path planning with an adequate environment representation is a crucial topic in order to guarantee the robot safety while ensuring the accompl
Externí odkaz:
http://arxiv.org/abs/2407.05779
This paper introduces an Online Localisation and Colored Mesh Reconstruction (OLCMR) ROS perception architecture for ground exploration robots aiming to perform robust Simultaneous Localisation And Mapping (SLAM) in challenging unknown environments a
Externí odkaz:
http://arxiv.org/abs/2207.10489
Autor:
Murata, Renato, Gibart, Jules, Marzat, Julien, Piet-Lahanier, Hélène, Boujnah, Sandra, Farago, François
Publikováno v:
In IFAC PapersOnLine 2024 58(4):348-353
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
Autor:
Pérez-Roca, Sergio, Marzat, Julien, Flayac, Emilien, Piet-Lahanier, Helene, Langlois, Nicolas, Farago, Francois, Galeotta, Marco, Gonidec, Serge Le
The current context of launchers reusability requires the improvement of control algorithms for their liquid-propellant rocket engines. Their transient phases are generally still performed in open loop. In this paper, it is aimed at enhancing the con
Externí odkaz:
http://arxiv.org/abs/1907.04273
Akademický článek
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Publikováno v:
Robotics; Jul2024, Vol. 13 Issue 7, p108, 29p
Autor:
Marzat, Julien
Les travaux présentés dans ce mémoire contribuent à la définition de méthodes pour la détection et le diagnostic de défauts affectant les systèmes aéronautiques. Un système représentatif sert de support d'étude, constitué du modèle non
Externí odkaz:
http://www.theses.fr/2011PA112233/document
Publikováno v:
In IFAC PapersOnLine 2020 53(2):15501-15507