Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Levin Gerdes"'
Autor:
Levin Gerdes, Tim Wiese, Raúl Castilla Arquillo, Laura Bielenberg, Martin Azkarate, Hugo Leblond, Felix Wilting, Joaquín Ortega Cortés, Alberto Bernal, Santiago Palanco, Carlos Pérez del Pulgar
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Dataset acquisitions devised specifically for robotic planetary exploration are key for the advancement, evaluation, and validation of novel perception, localization, and navigation methods in representative environments. Originating in the
Externí odkaz:
https://doaj.org/article/0ca1c16f680c4537a103be5b2773eea1
Autor:
Alexander M. Barrett, Peter Fawdon, Elena A. Favaro, Matthew R. Balme, Jack Wright, Mark J. Woods, Spyros Karachalios, Eleni Bohacek, Levin Gerdes, Elliot Sefton-Nash, Luc Joudrier
Publikováno v:
Journal of Maps, Vol 19, Iss 1 (2023)
ABSTRACTA deep learning (DL) terrain classification system, the Novelty and Anomaly Hunter – HiRISE (NOAH-H) was used to produce a terrain map of Mawrth Vallis, Mars. With it, we digitised the extent and distribution of transverse aeolian ridges (T
Externí odkaz:
https://doaj.org/article/3988af3368c04a44860e21ebcfff5a31
Autor:
Levin Gerdes, Carlos Jesús Pérez del Pulgar Mancebo, Gonzalo Jesús Paz Delgado, Raúl Castilla Arquillo
Publikováno v:
IEEE Robotics and Automation Letters. 7:12555-12561
The goal of the Mars Sample Return campaign is to collect soil samples from the surface of Mars and return them to Earth for further study. The samples will be acquired and stored in metal tubes by the Perseverance rover and deposited on the Martian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baa91924a26e5f34d7b25ce8a9ba8da0
https://doi.org/10.1109/lra.2022.3219306
https://doi.org/10.1109/lra.2022.3219306
Autor:
Martin Azkarate, Levin Gerdes, Tim Wiese, Martin Zwick, Marco Pagnamenta, Javier Hidalgo-Carrio, Pantelis Poulakis, Carlos J. Perez-del-Pulgar
Publikováno v:
IEEE Robotics & Automation Magazine. 29:10-23
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5f7f7831e4c6891df051f0a9d43b9e2
https://doi.org/10.1109/mra.2021.3134875
https://doi.org/10.1109/mra.2021.3134875
ANALOG-1 ISS – The first part of an analogue mission to guide ESA’s robotic moon exploration efforts
Autor:
Kjetil Wormnes, William Carey, Thomas Krueger, Leonardo Cencetti, Emiel den Exter, Stephen Ennis, Edmundo Ferreira, Antonio Fortunato, Levin Gerdes, Lukas Hann, Chiara Lombardi, Erica Luzzi, Sebastian Martin, Matteo Massironi, Samuel Payler, Aaron Pereira, Angelo Pio Rossi, Riccardo Pozzobon, Francesco Sauro, Philippe Schoonejans, Frank van der Hulst, Jessica Grenouilleau
Publikováno v:
Open Astronomy, Vol 31, Iss 1, Pp 5-14 (2022)
The European Space Agency’s ANALOG-1 experiment is the culmination of 12 distinct METERON experiments carried out since 2011. These all address aspects of teleoperating a robotic asset from an orbital platform, i.e., technical implementation, user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdb6b11d58ffe1eecefe69153c4d5233
https://doaj.org/article/76b56ebdd0d44502ad1c42bc86adbe7e
https://doaj.org/article/76b56ebdd0d44502ad1c42bc86adbe7e
Autor:
Michael Panzirsch, Aaron Pereira, Harsimran Singh, Bernhard Weber, Edmundo Ferreira, Andrei Gherghescu, Lukas Hann, Emiel den Exter, Frank van der Hulst, Levin Gerdes, Leonardo Cencetti, Kjetil Wormnes, Jessica Grenouilleau, William Carey, Ribin Balachandran, Thomas Hulin, Christian Ott, Daniel Leidner, Alin Albu-Schäffer, Neal Y. Lii, Thomas Krüger
Current space exploration roadmaps envision exploring the surface geology of celestial bodies with robots for both scientific research and in situ resource utilization. In such unstructured, poorly lit, complex, and remote environments, automation is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59c2654dfe7d1606f5eb2500f1e87de4
https://elib.dlr.de/186200/
https://elib.dlr.de/186200/
Autor:
Alfonso García-Cerezo, Levin Gerdes, Carlos Jesús Pérez-del-Pulgar, J. Ricardo Sánchez-Ibánez, Martin Azkarate
Publikováno v:
Engineering Applications of Artificial Intelligence. 86:32-42
Autonomy on rovers is desirable in order to extend the traversed distance, and therefore, maximize the number of places visited during the mission. It depends heavily on the information that is available for the traversed surface on other planet. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3daf8410b2c0c2166c02645da96c81b4
https://doi.org/10.1016/j.engappai.2019.08.011
https://doi.org/10.1016/j.engappai.2019.08.011
Autor:
José Ricardo Sánchez-Ibáñez, G.J. Paz-Delgado, Levin Gerdes, Carlos Jesús Pérez-del-Pulgar, Alfonso García-Cerezo, Martin Azkarate
Publikováno v:
IROS
Autonomous round trip missions arise as an interesting topic since ESA and NASA agreed to bring soil samples from Mars. This work proposes a new method to improve autonomous rover guidance for this kind of missions. It is focused on the use of dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0004e64c62510d1d3fac39d2dc066c00
https://doi.org/10.1109/iros45743.2020.9340912
https://doi.org/10.1109/iros45743.2020.9340912
Autor:
Levin Gerdes, Martin Azkarate, Luc Joudrier, José Ricardo Sánchez-Ibáñez, Carlos Jesús Pérez-del-Pulgar
Publikováno v:
Journal of Field Robotics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5aca4cdf532de9627e8218530ce4538e
https://doi.org/10.1002/rob.21981
https://doi.org/10.1002/rob.21981
Publikováno v:
ICRA
This paper proposes a Guidance, Navigation, and Control (GNC) architecture for planetary rovers targeting the conditions of upcoming Mars exploration missions such as Mars 2020 and the Sample Fetching Rover (SFR). The navigation requirements of these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54065117b6f4e0575a39ca9f3e662d68
https://doi.org/10.1109/icra40945.2020.9197122
https://doi.org/10.1109/icra40945.2020.9197122