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Journal articles
Ocean One: A Robotic Avatar for Oceanic Discovery
Oussama Khatib
1
Xiyang Yeh
2
Gerald Brantner
2
Brian Soe
2
Boyeon Kim
2
Shameek Ganguly
3
Hannah Stuart
4
Shiquan Wang
5
Mark Cutkosky
2
Aaron Edsinger
2
Phillip Mullins
6
Mitchell Barham
7
Christian R. Voolstra
8, 9
Khaled Nabil Salama
9
Michel l'Hour
10
Vincent Creuze
11
4
SICAL - Situated Interaction, Collaboration, Adaptation and Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
11
ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Christian R. Voolstra 8, 9
Author
Khaled Nabil Salama 9
Author
Michel l'Hour 10
Author
Vincent Creuze 11
Mail :
Author IdHAL : vincent-creuze ORCID : https://orcid.org/0000-0002-6813-8562
1
Artificial Intelligence Laboratory - Stanford University (Stanford, CA 94305-9010 - United States)
- Stanford University [Stanford] (450 Serra Mall, Stanford, CA 94305-2004 - United States)
2
Computer Science Department [Stanford] (353 Serra Mall Stanford University Stanford CA 94305-9025 USA - United States)
- Stanford University [Stanford] (450 Serra Mall, Stanford, CA 94305-2004 - United States)
3
LPC - Laboratoire de Physique Corpusculaire - Clermont-Ferrand (Campus des Cézeaux / 24 avenue des Landais / BP 80026 / 63171 Aubière Cedex - France)
- UBP - Université Blaise Pascal - Clermont-Ferrand 2 (34, avenue Carnot - BP 185 / 63006 Clermont-Ferrand cedex - France)
- IN2P3 - Institut National de Physique Nucléaire et de Physique des Particules du CNRS (France)
- CNRS - Centre National de la Recherche Scientifique : UMR6533 (France)
4
SICAL - Situated Interaction, Collaboration, Adaptation and Learning (France)
- LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information (Bâtiment Blaise Pascal - 20, avenue Albert Einstein - 69621 Villeurbanne cedex - France)
- UL2 - Université Lumière - Lyon 2 (86, rue Pasteur - 69007 Lyon - France)
- ECL - École Centrale de Lyon (36 avenue Guy de Collongue - 69134 Ecully cedex - France)
- Université de Lyon (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)
- UCBL - Université Claude Bernard Lyon 1 (43, boulevard du 11 novembre 1918, 69622 Villeurbanne cedex - France)
- Université de Lyon (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)
- CNRS - Centre National de la Recherche Scientifique : UMR5205 (France)
- INSA Lyon - Institut National des Sciences Appliquées de Lyon (20 Avenue Albert Einstein,
69621 Villeurbanne cedex - France)
- Université de Lyon (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)
- INSA - Institut National des Sciences Appliquées (France)
5
Université de Sherbrooke [Sherbrooke] (2500 boul. de l'Université, Sherbrooke, Québec J1K 2R1 - Canada)
6
Meka Robot (San Francisco, CA - United States)
7
LLNL - Lawrence Livermore National Laboratory (7000 East Avenue • Livermore, CA 94550 - United States)
9
KAUST - King Abdullah University of Science and Technology (King Abdullah University of Science and Technology P.O.Box 55455 Jeddah 21534, Saudi Arabia - Saudi Arabia)
10
Service de Pédiatrie et Génétique Médicale (Brest - France)
11
ICAR - Image & Interaction (France)
- LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (161 rue Ada - 34095 Montpellier - France)
- UM - Université de Montpellier : UMR5506 (163 rue Auguste Broussonnet - 34090 Montpellier - France)
- CNRS - Centre National de la Recherche Scientifique : UMR5506 (France)
Abstract : The promise of oceanic discovery has long intrigued scientists and explorers, whether with the idea of studying underwater ecology and climate change or with the hope of uncovering natural resources and historic secrets buried deep in archaeological sites. This quest to explore the oceans requires skilled human access, yet much of the oceans are inaccessible to human divers; nearly ninetenths of the ocean floor is at 1 km or deeper [1]. Accessing these depths is imperative since factors such as pollution and deep-sea trawling threaten ecology and archaeological sites. While remotely operated vehicles (ROVs) are inadequate for the task, a robotic avatar could go where humans cannot and still embody human intelligence and intentions through immersive interfaces.
Keywords :
Marine robotics
Document type :
Journal articles
Domain :
Complete list of metadatas
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01567467
Contributor : Vincent Creuze <>
Submitted on : Sunday, July 23, 2017 - 11:42:17 PM
Last modification on : Wednesday, July 8, 2020 - 12:43:51 PM
Contributor : Vincent Creuze <>
Submitted on : Sunday, July 23, 2017 - 11:42:17 PM
Last modification on : Wednesday, July 8, 2020 - 12:43:51 PM
Links full text
Identifiers
- HAL Id : lirmm-01567467, version 1
- DOI : 10.1109/MRA.2016.2613281
Collections
LIRMM | CNRS | EC-LYON | TDS-MACS | ICARLIRMM | UNIV-LYON2 | LIRIS | PRES_CLERMONT | LPC-CLERMONT | IN2P3 | MIPS | UNIV-MONTPELLIER | INSA-LYON | UNIV-LYON1 | INSA-GROUPE | UDL
Citation
Oussama Khatib, Xiyang Yeh, Gerald Brantner, Brian Soe, Boyeon Kim, et al.. Ocean One: A Robotic Avatar for Oceanic Discovery. IEEE Robotics and Automation Magazine, Institute of Electrical and Electronics Engineers, 2016, 23 (4), pp.20-29. ⟨10.1109/MRA.2016.2613281⟩. ⟨lirmm-01567467⟩
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