Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Julien Moras"'
Publikováno v:
Robotics, Vol 13, Iss 7, p 108 (2024)
While mobile ground robots have now the physical capacity of travelling in unstructured challenging environments such as extraterrestrial surfaces or devastated terrains, their safe and efficient autonomous navigation has yet to be improved before en
Externí odkaz:
https://doaj.org/article/4b8b813f503445589e418791442c3c64
Publikováno v:
Sensors, Vol 19, Iss 3, p 687 (2019)
In the context of underwater robotics, the visual degradation induced by the medium properties make difficult the exclusive use of cameras for localization purpose. Hence, many underwater localization methods are based on expensive navigation sensors
Externí odkaz:
https://doaj.org/article/666b88c4b0ae4694ae2de34fae8d6255
Publikováno v:
IEEE Transactions on Robotics. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::040117120c5037c204f0baa82cddcbdb
https://doi.org/10.1109/tro.2023.3258641
https://doi.org/10.1109/tro.2023.3258641
Publikováno v:
IFAC-PapersOnLine. 53:15501-15507
In this paper, we propose a novel cluster-based informative path planning algorithm to simultaneously explore and inspect a large-scale unknown environment with an Unmanned Aerial Vehicle (UAV). Most of the existing methods address the surface inspec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49e56d85db254e55c1999d59efb68160
https://doi.org/10.1016/j.ifacol.2020.12.2376
https://doi.org/10.1016/j.ifacol.2020.12.2376
Publikováno v:
Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cfc17b1091321388b798dcb0f0d1686
https://doi.org/10.5220/0011134300003271
https://doi.org/10.5220/0011134300003271
Autor:
Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong, Julien Marzat, Karl Sammut, Gilles Le Chenadec, Benoit Clement
Publikováno v:
Informatics in Control, Automation and Robotics ISBN: 9783030924416
Informatics in Control, Automation and Robotics
Informatics in Control, Automation and Robotics, 793, Springer International Publishing, pp.362-385, 2022, Lecture Notes in Electrical Engineering, ⟨10.1007/978-3-030-92442-3_19⟩
Informatics in Control, Automation and Robotics
Informatics in Control, Automation and Robotics, 793, Springer International Publishing, pp.362-385, 2022, Lecture Notes in Electrical Engineering, ⟨10.1007/978-3-030-92442-3_19⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::234c1f1910ba446e5cc4d902f0a36694
https://doi.org/10.1007/978-3-030-92442-3_19
https://doi.org/10.1007/978-3-030-92442-3_19
Publikováno v:
International Symposium on Applied Geoinformatics 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4be1df2a2626d6e90de7b98470d83f8d
https://doi.org/10.15659/isag2021.12533
https://doi.org/10.15659/isag2021.12533
Next-Best-View planning for surface reconstruction of large-scale 3D environments with multiple UAVs
Publikováno v:
IEEE/RSJ International Conference on Intelligent Robots and Systems
IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2020, Las Vegas, United States. pp.1567-1574
IROS
IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2020, Las Vegas, United States. pp.1567-1574
IROS
International audience; In this paper, we propose a novel cluster-based Next-Best-View path planning algorithm to simultaneously explore and inspect large-scale unknown environments with multiple Unmanned Aerial Vehicles (UAVs). In the majority of ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18d5476f69c155783e20baeef155ca8c
https://hal.archives-ouvertes.fr/hal-03086499/file/HaMoMoMaMo_IROS20.pdf
https://hal.archives-ouvertes.fr/hal-03086499/file/HaMoMoMaMo_IROS20.pdf
Publikováno v:
IROS
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), Oct 2020, Las Vegas, United States
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), Oct 2020, Las Vegas, United States
International audience; This article introduces a decentralized multi-robot algorithm for Simultaneous Localization And Mapping (SLAM) inspired from previous work on collaborative mapping. This method makes robots jointly build and exchange i) a coll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba3d6d2f37d1e0bc68afa7fb6f01aa48
https://doi.org/10.1109/iros45743.2020.9341680
https://doi.org/10.1109/iros45743.2020.9341680
Publikováno v:
17th International Conference on Informatics, Automation and Robotics, ICINCO 2020
17th International Conference on Informatics, Automation and Robotics, ICINCO 2020, Jul 2020, Virtual, Online, France. pp.314-323
ICINCO
17th International Conference on Informatics, Automation and Robotics, ICINCO 2020, Jul 2020, Virtual, Online, France. pp.314-323
ICINCO
International audience; 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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52fb1310c0a4a633d3dea7b6112fc870