Type
ArticleAuthors
Khatib, OussamaYeh, Xiyang
Brantner, Gerald
Soe, Brian
Kim, Boyeon
Ganguly, Shameek
Stuart, Hannah
Wang, Shiquan
Cutkosky, Mark
Edsinger, Aaron
Mullins, Phillip
Barham, Mitchell
Voolstra, Christian R.

Salama, Khaled N.

L'Hour, Michel
Creuze, Vincent
KAUST Department
Biological and Environmental Sciences and Engineering (BESE) DivisionComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Marine Science Program
Red Sea Research Center (RSRC)
Date
2016-11-11Online Publication Date
2016-11-11Print Publication Date
2016-12Permanent link to this record
http://hdl.handle.net/10754/622744
Metadata
Show full item recordAbstract
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.Citation
Khatib O, Yeh X, Brantner G, Soe B, Kim B, et al. (2016) Ocean One: A Robotic Avatar for Oceanic Discovery. IEEE Robotics & Automation Magazine 23: 20–29. Available: http://dx.doi.org/10.1109/MRA.2016.2613281.Sponsors
We would like to thank all the supporting partners and the students who have contributed so much to the development of Ocean One. The assistance of Harlyn Baker and Samir Menon in the preparation of this manuscript is also gratefully acknowledged. This research was supported in part by a King Abdullah University of Science and Technology/Stanford University AEA Round 3 award and baseline research funds to CRV.Additional Links
http://ieeexplore.ieee.org/document/7742315/ae974a485f413a2113503eed53cd6c53
10.1109/MRA.2016.2613281