2015
DOI: 10.1016/j.ifacol.2015.06.030
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Towards autonomy in ROV operations

Abstract: This paper presents an on-going research project focusing on the development of technology to enable autonomy in ROV operations. The project is a collaborative project between Norwegian offshore industry and academia. Currently, there is a large focus in research on the development of navigation, guidance and control for autonomous underwater vehicles (AUV). This is important as there will be a future demand for subsea inspection, maintenance and repair (IMR) operations with non-cabled systems. A future scenar… Show more

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Cited by 64 publications
(22 citation statements)
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“…Artificial Intelligence is becoming an increasingly common sight in automating machines to carry functions without the need for an actual operator. It will continue to take on a more observatory role [6][7][8]. Nowadays, ROVs and AUVs are commonly used in the maritime industry to carry out underwater tasks.…”
Section: Introductionmentioning
confidence: 99%
“…Artificial Intelligence is becoming an increasingly common sight in automating machines to carry functions without the need for an actual operator. It will continue to take on a more observatory role [6][7][8]. Nowadays, ROVs and AUVs are commonly used in the maritime industry to carry out underwater tasks.…”
Section: Introductionmentioning
confidence: 99%
“…Controlled manually, with neither automated control functions or other motorized capabilities [13]. How bait, lots of studies had approved that automation can decrease the allotment including the expense of the operation and inclusion of actual entity that can be a compelling part of an motorized control-strategy.…”
Section: Introductionmentioning
confidence: 99%
“…It could be marine, underwater and supermarine usage, research of water parameters [42], geodetic situation [24], biological resources [20,43], monitoring and control of engineering structures [6,44]. The same absence of permanent energy source makes aerial robots highly sought after in similar fields: monitoring the Earth's surface and scanning the dangerous environments [38].…”
Section: Introductionmentioning
confidence: 99%