Searched for: subject%3A%22Autonomous%22
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document
Mitchell, Daniel (author), Blanche, Jamie (author), Harper, Sam (author), Lim, Theodore (author), Gupta, Ranjeetkumar (author), Zaki, Osama (author), Tang, Wenshuo (author), Robu, Valentin (author), Watson, Simon (author), Flynn, David (author)
The UK has set plans to increase offshore wind capacity from 22GW to 154GW by 2030. With such tremendous growth, the sector is now looking to Robotics and Artificial Intelligence (RAI) in order to tackle lifecycle service barriers as to support sustainable and profitable offshore wind energy production. Today, RAI applications are...
review 2022
document
Mitchell, Daniel (author), Blanche, Jamie (author), Zaki, Osama (author), Roe, Joshua (author), Kong, Leo (author), Harper, Samuel (author), Robu, Valentin (author), Lim, Theodore (author), Flynn, David (author)
To reduce Operation and Maintenance (OM) expenditure on offshore wind farms, wherein 80% of the cost relates to deploying personnel, the offshore wind sector looks to advances in Robotics and Artificial Intelligence (RAI) for solutions. Barriers to residential Beyond Visual Line of Sight (BVLOS) autonomy as a service, include operational...
journal article 2021