| dc.contributor |
Guedes Soares, C |
|
| dc.creator |
Fahrni, L |
|
| dc.creator |
Thies, PR |
|
| dc.creator |
Johanning, L |
|
| dc.creator |
Cowles, J |
|
| dc.date |
2018-11-22T09:40:44Z |
|
| dc.date |
2018-10-03 |
|
| dc.date.accessioned |
2022-05-27T01:02:43Z |
|
| dc.date.available |
2022-05-27T01:02:43Z |
|
| dc.identifier |
Advances in Renewable Energies Offshore Proceedings of the 3rd International Conference on Renewable Energies Offshore (RENEW 2018), 8-10 October 2018, Lisbon, Portugal, pp. 771 - 778 |
|
| dc.identifier |
10.1201/9780429505324 |
|
| dc.identifier |
http://hdl.handle.net/10871/34856 |
|
| dc.identifier |
9780429999567 |
|
| dc.identifier |
2638-647X |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/241905 |
|
| dc.description |
This is the author accepted manuscript. The final version is available from CRC Press via the DOI in this record |
|
| dc.description |
This paper explores the operation of autonomous systems for the targeted inspection and intervention in offshore environments in order to minimise manned, at sea, marine operations. The joint operation of Autonomous Surface Vessels (ASVs) and Remotely Operated underwater Vehicles (ROVs) will require artificial intelligence to assess and action situations in the challenging marine environment around sub-sea infrastructures. ROVs are typically controlled by human operators to install, maintain, inspect, and repair subsea infrastructures. With increased numbers of offshore installations, e.g. offshore wind installations, the need for subsea interventions continues to rise worldwide. The increase in demand for subsea interventions using human activities will impact on cost and increase the risk of incidence. As such, dedicated R&D is increasing to develop safe and reliable autonomous solutions to optimize subsea inspection, maintenance and repair (IMR) operations. An autonomous robotic inspection and intervention system would significantly challenge the existing methodologies to increase safety and reduce costs. |
|
| dc.description |
The work presented in this paper has received
funding from Innovate UK, project Nr 104085: “Autonomous
Robotic Intervention System for Extreme
Maritime Environments (ARISE).”
http://gtr.ukri.org/projects?ref=104085 |
|
| dc.language |
en |
|
| dc.publisher |
CRC Press (Taylor & Francis) |
|
| dc.rights |
© 2019 Taylor & Francis |
|
| dc.rights |
2019-10-03 |
|
| dc.rights |
Under embargo until 3 October 2019 in compliance with publisher policy |
|
| dc.subject |
Renewable Energy |
|
| dc.subject |
Offshore renewables |
|
| dc.subject |
Inspection, Maintenance, and Repair |
|
| dc.subject |
Robotic Artificial Intelligence |
|
| dc.subject |
Unmanned Surface Vehicles |
|
| dc.subject |
Remotely Operated underwater Vehicles |
|
| dc.title |
Scope and feasibility of autonomous robotic subsea intervention systems for offshore inspection, maintenance and repair |
|
| dc.type |
Conference paper |
|