| EPSRC Reference: |
EP/R026173/1 |
| Title: |
UK Robotics and Artificial Intelligence Hub for Offshore Energy Asset Integrity Management |
| Principal Investigator: |
Petillot, Professor Y |
| Other Investigators: |
| Mistry, Professor M |
Hospedales, Professor TM |
Erden, Dr M |
| Fallon, Dr M |
Lohan, Dr K S |
Petrick, Dr R |
| Cegla, Dr F |
Stokes, Dr A |
Jump, Dr M |
| Cawley, Professor P |
Ingram, Professor DM |
Williams, Professor C |
| Wang, Dr S |
Vijayakumar, Professor S |
Kovac, Professor M |
| Patchett, Dr C |
Robu, Dr V |
Dragone, Dr M |
| Havoutis, Dr I |
Kiprakis, Dr A |
Hastie, Professor HF |
| Ramamoorthy, Professor S |
Flynn, Professor D |
Chantler, Professor M |
| Fisher, Professor M |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Sch of Engineering and Physical Science |
| Organisation: |
Heriot-Watt University |
| Scheme: |
Standard Research |
| Starts: |
02 October 2017 |
Ends: |
31 March 2022 |
Value (£): |
15,223,235
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Fundamentals of Computing |
| Human-Computer Interactions |
Image & Vision Computing |
| Robotics & Autonomy |
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| EPSRC Industrial Sector Classifications: |
| Aerospace, Defence and Marine |
Environment |
| Energy |
Information Technologies |
| Water |
R&D |
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| Related Grants: |
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| Panel History: |
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Summary on Grant Application Form |
The international offshore energy industry currently faces the triple challenges of an oil price expected to remain less than $50 a barrel, significant expensive decommissioning commitments of old infrastructure (especially North Sea) and small margins on the traded commodity price per KWh of offshore renewable energy. Further, the offshore workforce is ageing as new generations of suitable graduates prefer not to work in hazardous places offshore. Operators therefore seek more cost effective, safe methods and business models for inspection, repair and maintenance of their topside and marine offshore infrastructure. Robotics and artificial intelligence are seen as key enablers in this regard as fewer staff offshore reduces cost, increases safety and workplace appeal.
The long-term industry vision is thus for a completely autonomous offshore energy field, operated, inspected and maintained from the shore. The time is now right to further develop, integrate and de-risk these into certifiable evaluation prototypes because there is a pressing need to keep UK offshore oil and renewable energy fields economic, and to develop more productive and agile products and services that UK startups, SMEs and the supply chain can export internationally. This will maintain a key economic sector currently worth £40 billion and 440,000 jobs to the UK economy, and a supply chain adding a further £6 billion in exports of goods and services.
The ORCA Hub is an ambitious initiative that brings together internationally leading experts from 5 UK universities with over 30 industry partners (>£17.5M investment). Led by the Edinburgh Centre of Robotics (HWU/UoE), in collaboration with Imperial College, Oxford and Liverpool Universities, this multi-disciplinary consortium brings its unique expertise in: Subsea (HWU), Ground (UoE, Oxf) and Aerial robotics (ICL); as well as human-machine interaction (HWU, UoE), innovative sensors for Non Destructive Evaluation and low-cost sensor networks (ICL, UoE); and asset management and certification (HWU, UoE, LIV).
The Hub will provide game-changing, remote solutions using robotics and AI that are readily integratable with existing and future assets and sensors, and that can operate and interact safely in autonomous or semi-autonomous modes in complex and cluttered environments. We will develop robotics solutions enabling accurate mapping of, navigation around and interaction with offshore assets that support the deployment of sensors networks for asset monitoring. Human-machine systems will be able to co-operate with remotely located human operators through an intelligent interface that manages the cognitive load of users in these complex, high-risk situations. Robots and sensors will be integrated into a broad asset integrity information and planning platform that supports self-certification of the assets and robots.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.hw.ac.uk |