A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector

Blockchain technology in the energy sector: a systematic review of challenges and opportunities

Andoni, M., Robu, V., Flynn, D., Abram, S., Geach, D., Jenkins, D., McCallum, P., & Peacock, A. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.10.014 · Cited by 2,426 · see citing works

Digital Twins: The Convergence of Multimedia Technologies

El Saddik, A. (2018) · IEEE MultiMedia · doi:10.1109/mmul.2018.023121167 · Cited by 817 · see citing works

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

(2016) · doi:10.1109/iros35211.2016 · Cited by 502 · see citing works

Installation of offshore wind turbines: A technical review

Jiang, Z. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.110576 · Cited by 414 · see citing works

The UN Decade of Ocean Science for Sustainable Development

Ryabinin, V., Barbière, J., Haugan, P. M., Kullenberg, G. E. B., Smith, N. R., McLean, C., Troisi, A., Fischer, A. S., Aricò, S., Aarup, T., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00470 · Cited by 377 · see citing works

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

(2018) · doi:10.1109/igarss40696.2018 · Cited by 366 · see citing works

Assessing environmental impacts of offshore wind farms: lessons learned and recommendations for the future

Bailey, H., Brookes, K. L., & Thompson, P. M. (2014) · Aquatic Biosystems · doi:10.1186/2046-9063-10-8 · Cited by 352 · see citing works

Review of Robotic Infrastructure Inspection Systems

Lattanzi, D., & Miller, G. R. (2017) · Journal of Infrastructure Systems · doi:10.1061/(asce)is.1943-555x.0000353 · Cited by 266 · see citing works

Sustainable decommissioning of an offshore wind farm

Topham, E., & McMillan, D. (2016) · Renewable Energy · doi:10.1016/j.renene.2016.10.066 · Cited by 243 · see citing works

2013 IEEE International Conference on Systems, Man, and Cybernetics

(2013) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2012.2237593 · Cited by 134 · see citing works

RoboEarth - A World Wide Web for Robots

Waibel, M., Beetz, M., Raffaello D’andrea, B., Janssen, R., Tenorth, M., Civera, J., Elfring, J., Gálvez‐López, D., Häußermann, K., Montiel, J. M. M., et al. (2011) · mediaTUM (Technical University of Munich) · doi:10.1109/mra.2011.941632 · Cited by 118 · see citing works

OCEANS 2019 MTS/IEEE SEATTLE

(2019) · doi:10.23919/oceans40490.2019 · Cited by 112 · see citing works

2017 International Conference on Information and Communication Technology Convergence (ICTC)

(2017) · doi:10.1109/ictc41127.2017 · Cited by 110 · see citing works

Eelume: A flexible and subsea resident IMR vehicle

Liljebäck, P., & Mills, R. E. (2017) · MTS/IEEE OCEANS Conference (OCEANS) · doi:10.1109/oceanse.2017.8084826 · Cited by 105 · see citing works

Operation and Maintenance Costs of Offshore Wind Farms and Potential Multi-use Platforms in the Dutch North Sea

Röckmann, C., Lagerveld, S., & Stavenuiter, J. (2017) · Springer eBooks · doi:10.1007/978-3-319-51159-7_4 · Cited by 99 · see citing works

Prognostics and Health Management of Electronics

(2018) · Wiley eBooks · doi:10.1002/9781119515326 · Cited by 98 · see citing works

A Robot to Monitor Nuclear Facilities: Using Autonomous Radiation-Monitoring Assistance to Reduce Risk and Cost

Bird, B., Griffiths, A., Martin, H., Codres, E., Jones, J. E., Stancu, A., Lennox, B., Watson, S., & Poteau, X. (2018) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2018.2879755 · Cited by 67 · see citing works

Predicting Damage and Life Expectancy of Subsea Power Cables in Offshore Renewable Energy Applications

Dinmohammadi, F., Flynn, D., Bailey, C., PECHT, M. G., Yin, C., Rajaguru, P., & Robu, V. (2019) · IEEE Access · doi:10.1109/access.2019.2911260 · Cited by 65 · see citing works

Application of machine learning for wind energy from design to energy-Water nexus: A Survey

Elyasichamazkoti, F., & Khajehpoor, A. (2021) · Energy Nexus · doi:10.1016/j.nexus.2021.100011 · Cited by 62 · see citing works

Robotic agents capable of natural and safe physical interaction with human co-workers

Beetz, M., Bartels, G., Albu‐Schäffer, A., Bálint-Benczédi, F., Belder, R., Bebler, D., Haddadin, S., Maldonado, A., Mansfeld, N., Wiedemeyer, T., et al. (2015) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2015.7354310 · Cited by 59 · see citing works

Symbiotic System of Systems Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms

Mitchell, D., Blanche, J. R. D., Zaki, O. F., Roe, J., Kong, L., Harper, S., Robu, V., Lim, T., & Flynn, D. (2021) · IEEE Access · doi:10.1109/access.2021.3117727 · Cited by 56 · see citing works

2016 Annual Reliability and Maintainability Symposium (RAMS)

(2016) · doi:10.1109/rams18795.2016 · Cited by 46 · see citing works

2020 IEEE International Conference on Prognostics and Health Management (ICPHM)

(2020) · doi:10.1109/icphm49022.2020 · Cited by 45 · see citing works

Maintenance Robot for 5-MW Offshore Wind Turbines and its Control

Lee, D., Oh, S., & Son, H. I. (2016) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2016.2574711 · Cited by 34 · see citing works

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

(2020) · doi:10.1109/iemcon51383.2020 · Cited by 33 · see citing works

Verifiable Self-Certifying Autonomous Systems

Fisher, M., Collins, E. C., Dennis, L. A., Luckcuck, M., Webster, M., Jump, M., Page, V., Patchett, C., Dinmohammadi, F., Flynn, D., et al. (2018) · IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) · doi:10.1109/issrew.2018.00028 · Cited by 31 · see citing works

ADHESION TECHNOLOGIES OF BIO-INSPIRED CLIMBING ROBOTS: A SURVEY

Chattopadhyay, P., & Ghoshal, S. K. (2018) · International Journal of Robotics and Automation · doi:10.2316/journal.206.2018.6.206-5193 · Cited by 27 · see citing works

Reliability and Safety of Autonomous Systems Based on Semantic Modelling for Self-Certification

Zaki, O. F., Dunnigan, M. W., Robu, V., & Flynn, D. (2021) · Robotics · doi:10.3390/robotics10010010 · Cited by 27 · see citing works

Detecting and Positioning of Wind Turbine Blade Tips for UAV-Based Automatic Inspection

Guo, H., Cui, Q., Wang, J., Xu, F., Yang, W. T., & Li, Z. (2019) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2019.8899827 · Cited by 23 · see citing works

Detection of buried and partially buried objects using a bio-inspired wideband sonar

Capus, C., Pailhas, Y., Brown, K., & Lane, D. M. (2010) · OCEANS'10 IEEE SYDNEY · doi:10.1109/oceanssyd.2010.5603675 · Cited by 21 · see citing works

2012 2nd International Conference on Applied Robotics for the Power Industry (CARPI)

(2012) · doi:10.1109/carpi19989.2012 · Cited by 21 · see citing works

20th Computers and Information in Engineering Conference

Lee, D. (2000) · Medical Entomology and Zoology · Cited by 18 · see citing works

2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)

(2017) · doi:10.1109/icsss40898.2017 · Cited by 18 · see citing works

Asset Integrity Monitoring of Wind Turbine Blades with Non-Destructive Radar Sensing

Blanche, J. R. D., Mitchell, D., Gupta, R., Tang, A., & Flynn, D. (2020) · IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) · doi:10.1109/iemcon51383.2020.9284941 · Cited by 18 · see citing works

Design of Robot based Work Progress Monitoring System for the Building Construction Site

Lee, J. H., Park, J.-H., & Jang, B. (2018) · International Conference on Information and Communication Technology Convergence (ICTC) · doi:10.1109/ictc.2018.8539444 · Cited by 18 · see citing works

Self-Certification and Safety Compliance for Robotics Platforms

Zaki, O. F., Flynn, D., Blanche, J. R. D., Roe, J., Kong, L., Mitchell, D., Lim, T., Harper, S., & Robu, V. (2020) · Offshore Technology Conference · doi:10.4043/30840-ms · Cited by 16 · see citing works

2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

(2018) · doi:10.1109/issrew46011.2018 · Cited by 15 · see citing works

Review of offshore cable reliability metrics

Warnock, J., McMillan, D., Pilgrim, J. A., & Shenton, S. (2017) · IET International Conference on AC and DC Power Transmission (ACDC) · doi:10.1049/cp.2017.0071 · Cited by 14 · see citing works

Object classification with convolution neural network based on the time-frequency representation of their echo

Dmitrieva, M., Valdenegro-Toro, M., Brown, K., Heald, G., & Lane, D. M. (2017) · Machine learning for signal processing ... · doi:10.1109/mlsp.2017.8168134 · Cited by 13 · see citing works

The Capabilities and Effectiveness of Remote Inspection of Wind Turbines

Netland, Ø., Jenssen, G. D., & Skavhaug, A. (2015) · Energy Procedia · doi:10.1016/j.egypro.2015.11.420 · Cited by 12 · see citing works

Optimizing life cycle cost of wind turbine blades using predictive analytics in effective maintenance planning

Nichenametla, A. N., Nandipati, S., & Waghmare, A. L. (2017) · Annual Reliability and Maintainability Symposium (RAMS) · doi:10.1109/ram.2017.7889682 · Cited by 12 · see citing works

The Operation of UAV Propulsion Motors in the Presence of High External Magnetic Fields

Heggo, M., Mohammed, A., Melecio, J. I., Kabbabe, K., Tuohy, P. M., Watson, S., & Djurović, S. (2021) · Robotics · doi:10.3390/robotics10020079 · Cited by 10 · see citing works

Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables

Tang, W., Brown, K., Flynn, D., & Pellae, H. (2018) · Prognostics and System Health Management Conference · doi:10.1109/phm-chongqing.2018.00024 · Cited by 9 · see citing works

Reliability analysis of offshore grids—An overview of recent research

Tuinema, B. W., Getreuer, R. E., Rueda, J. L., & van der Meijden, M. A. M. M. (2018) · Wiley Interdisciplinary Reviews Energy and Environment · doi:10.1002/wene.309 · Cited by 8 · see citing works

Prototyping and evaluation of a telerobot for remote inspection of offshore wind farms

Netland, Ø., & Skavhaug, A. (2012) · International Conference on Applied Robotics for the Power Industry (CARPI) · doi:10.1109/carpi.2012.6473351 · Cited by 8 · see citing works

The Application of Machine Learning and Low Frequency Sonar for Subsea Power Cable Integrity Evaluation

Tang, W., Flynn, D., Brown, K., Robu, V., & Zhao, X. (2019) · MTS/IEEE OCEANS Conference (OCEANS) · doi:10.23919/oceans40490.2019.8962840 · Cited by 8 · see citing works

Sensing Technologies and Artificial Intelligence for Subsea Power Cable Asset Management

Tang, W., Flynn, D., & Robu, V. (2021) · IEEE Conference on Prognostics and Health Management · doi:10.1109/icphm51084.2021.9486586 · Cited by 8 · see citing works

An Experiment on the Effectiveness of Remote, Robotic Inspection Compared to Manned

Netland, Ø., Jenssen, G. D., Schade, H. M., & Skavhaug, A. (2013) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2013.395 · Cited by 7 · see citing works

The Future Workplace: A Symbiotic System of Systems Environment

McConnell, A. C., Mitchell, D., Donaldson, K., Harper, S., Blanche, J. R. D., Lim, T., Flynn, D., & Stokes, A. A. (2021) · CRC Press eBooks · doi:10.1201/9781003186380-18 · Cited by 5 · see citing works

Robotic solutions for sewage systems in coastal urban environments

Grau, A., Bolea, Y., Puig-Pey, A., & Sanfeliu, A. (2017) · MTS/IEEE OCEANS Conference (OCEANS) · doi:10.1109/oceanse.2017.8085000 · Cited by 2 · see citing works

Autonomy and me: working together for a better future

Mitchell, D., Harper, S. T., Blanche, J. R. D., Zaki, O. F., Lim, T., Tang, W., Gupta, R., Roe, J., & Flynn, D. (2021) · doi:10.26226/morressier.612f6737bc981037241008a1 · Cited by 1 · see citing works

Control-Display Affordances in Simulation Based Education

Harper, S., Sivanathan, A., Lim, T., McGibbon, S., & Ritchie, J. (2018) · doi:10.1115/detc2018-85352 · Cited by 1 · see citing works

Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage

Bin Abu Sofian, A. D. A., Lim, H. R., Siti Halimatul Munawaroh, H., Ma, Z., Chew, K. W., & Show, P. L. (2024) · Sustainable Development · doi:10.1002/sd.2885 · Cited by 270 · see citing works

Digital technologies for a net-zero energy future: A comprehensive review

Ferdaus, M. M., Dam, T., Anavatti, S. G., & Das, S. (2024) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2024.114681 · Cited by 111 · see citing works

Role of ChatGPT and Similar Generative Artificial Intelligence (AI) in Construction IndustryPreprint

Rane, N. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4598258 · Cited by 106 · see citing works

Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research

Peng, H., Li, S., Shangguan, L., Fan, Y., & Zhang, H. (2023) · Sustainability · doi:10.3390/su15108333 · Cited by 85 · see citing works

Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities

Durlik, I., Miller, T. I., Kostecka, E., Łobodzińska, A., & Kostecki, T. (2024) · Applied Sciences · doi:10.3390/app14145994 · Cited by 86 · see citing works

Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach

Jamei, M., Ali, M., Karbasi, M., Xiang, Y., Ahmadianfar, I., & Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Z. M. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.119925 · Cited by 65 · see citing works

Inspection of Floating Offshore Wind Turbines Using Multi-Rotor Unmanned Aerial Vehicles: Literature Review and Trends

Zhang, K., Pakrashi, V., Murphy, J., & Hao, G. (2024) · Sensors · doi:10.3390/s24030911 · Cited by 67 · see citing works

Integrating ChatGPT, Bard, and Leading-Edge Generative Artificial Intelligence in Architectural Design and Engineering: Applications, Framework, and Challenges

Rane, N. L., Choudhary, S. P., & Rane, J. (2023) · International Journal of Architecture and Planning · doi:10.51483/ijarp.3.2.2023.92-124 · Cited by 61 · see citing works

Enhancing Reliability in Floating Offshore Wind Turbines through Digital Twin Technology: A Comprehensive Review

Chen, B.-Q., Liu, K., Yu, T., & Li, R. (2024) · Energies · doi:10.3390/en17081964 · Cited by 61 · see citing works

A 3D indicator for guiding AI applications in the energy sector

Quest, H., Cauz, M., Heymann, F., Rod, C., Perret, L., Ballif, C., Virtuani, A., & Wyrsch, N. (2022) · Energy and AI · doi:10.1016/j.egyai.2022.100167 · Cited by 49 · see citing works

Implementing health and safety standards in Offshore Wind Farms

Adekanmbi, A. O., Ninduwezuor-Ehiobu, N., Abatan, A., Izuka, U., Ani, E. C., & Obaigbena, A. (2024) · World Journal of Advanced Research and Reviews · doi:10.30574/wjarr.2024.21.2.0557 · Cited by 47 · see citing works

Changes in Energy Sector Strategies: A Literature Review

Sulich, A., & Sołoducho-Pelc, L. M. (2022) · Energies · doi:10.3390/en15197068 · Cited by 47 · see citing works

Ocean energy applications for coastal communities with artificial intelligence a state-of-the-art review

Zhou, Y. (2022) · Energy and AI · doi:10.1016/j.egyai.2022.100189 · Cited by 42 · see citing works

Condition-based structural health monitoring of offshore wind jacket structures: Opportunities, challenges, and perspectives

Leng, J., Gardoni, P., Wang, M., Li, Z., Królczyk, G., Feng, S., İncecik, A., & Li, W. (2023) · Structural Health Monitoring · doi:10.1177/14759217221148688 · Cited by 39 · see citing works

Optimizing maintenance logistics on offshore platforms with AI: Current strategies and future innovations

Ukato, A., Sofoluwe, O. O., Jambol, D. D., & Ochulor, O. J. (2024) · World Journal of Advanced Research and Reviews · doi:10.30574/wjarr.2024.22.1.1315 · Cited by 31 · see citing works

Efficient and reliable corrosion control for subsea assets: challenges in the design and testing of corrosion probes in aggressive marine environments

Odeyemi, O. O., & Alaba, P. A. (2024) · Corrosion Reviews · doi:10.1515/corrrev-2024-0046 · Cited by 31 · see citing works

Review on Monitoring and Operation-Maintenance Technology of Far-Reaching Sea Smart Wind Farms

Wang, Z., Guo, Y., & Wang, H. (2022) · Journal of Marine Science and Engineering · doi:10.3390/jmse10060820 · Cited by 28 · see citing works

Industry 4.0 digital technologies for the advancement of renewable energy: Functions, applications, potential and challenges

Naeem, G., Asif, M., & Khalid, M. (2024) · Energy Conversion and Management X · doi:10.1016/j.ecmx.2024.100779 · Cited by 32 · see citing works

Multimodal immersive digital twin platform for cyber–physical robot fleets in nuclear environments

Baniqued, P. D. E., Bremner, P., Sandison, M., Harper, S. T., Agrawal, S., Bolarinwa, J., Blanche, J. R. D., Jiang, Z., Johnson, T., Mitchell, D., et al. (2024) · Journal of Field Robotics · doi:10.1002/rob.22329 · Cited by 26 · see citing works

Enhancing stability in renewable energy transmission using multi-terminal HVDC systems with grid-forming controls for offshore and onshore wind integration

Shufian, A., Hossain, M. I., Anonto, H. Z., & Rohan, A. I. (2025) · Scientific Reports · doi:10.1038/s41598-025-10046-6 · Cited by 24 · see citing works

Ultrasound-Powered Wireless Underwater Acoustic Identification Tags for Backscatter Communication

Bhardwaj, A., Allam, A., Ertürk, A., & Sabra, K. G. (2023) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2023.3344638 · Cited by 23 · see citing works

Non-contact sensing for anomaly detection in wind turbine blades: A focus-SVDD with complex-valued auto-encoder approach

Frusque, G., Mitchell, D., Blanche, J. R. D., Flynn, D., & Fink, O. (2023) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2023.111022 · Cited by 23 · see citing works

6G edge-networks and multi-UAV knowledge fusion for urban autonomous vehicles

Nawaz, M. W., Zhang, W., Flynn, D., Zhang, L., Swash, M. R., Abbasi, Q. H., Imran, M. A., & Popoola, O. (2024) · Physical Communication · doi:10.1016/j.phycom.2024.102479 · Cited by 22 · see citing works

Integrating Big Data and Artificial Intelligence Technology to Build Renewable Energy Supply Chain Resilience: An Empirical Study

Bag, S., Rahman, M. S., Routray, S., Roubaud, D., & Mangla, S. K. (2025) · Business Strategy and the Environment · doi:10.1002/bse.70052 · Cited by 24 · see citing works

Optimizing Sustainability Offshore Hybrid Tidal-Wind Energy Storage Systems for an Off-Grid Coastal City in South Africa

Kangaji, L. M., Raji, A. K., & Orumwense, E. F. (2024) · Sustainability · doi:10.3390/su16219139 · Cited by 19 · see citing works

Unmanned surface vessel routing and unmanned aerial vehicle swarm scheduling for off-shore wind turbine blade inspection

Ismail, A. H., Song, X. Q., Ouelhadj, D., Al-Behadili, M., & Fraess-Ehrfeld, A. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.127534 · Cited by 19 · see citing works

Robotics in Industry 4.0: A Bibliometric Analysis (2011-2022)

Sekhar, R., Shah, P., & Iswanto, I. (2022) · Journal of Robotics and Control (JRC) · doi:10.18196/jrc.v3i5.15453 · Cited by 19 · see citing works

A generative adversarial network with multiscale and attention mechanisms for underwater image enhancement

Zhao, L., Li, Y., & Zhong, T. (2025) · Scientific Reports · doi:10.1038/s41598-025-86949-1 · Cited by 18 · see citing works

Lessons learned: Symbiotic autonomous robot ecosystem for nuclear environments

Mitchell, D., Baniqued, P. D. E., Zahid, A., West, A., Abadi, B. N. R., Lennox, B., Liu, B., Kizilkaya, B., Flynn, D., Francis, D. J., et al. (2023) · IET Cyber-Systems and Robotics · doi:10.1049/csy2.12103 · Cited by 18 · see citing works

The Impact of COVID-19 on the Energy Sector and the Role of AI: An Analytical Review on Pre- to Post-Pandemic Perspectives

Arsad, S. R., Hadi, M. H. H., Afandi, N. A. M., Ker, P. J., Tang, S. G. H., Afzal, M. M., Ramanathan, S., Chen, C. P., Krishnan, P. S., & Kiong, T. S. (2023) · Energies · doi:10.3390/en16186510 · Cited by 18 · see citing works

Maritime Society 5.0: a global transition on human economy and civilisation for maritime sustainability

Autsadee, Y., Jeevan, J., Othman, M. R., & Salleh, N. H. M. (2023) · Australian Journal of Maritime & Ocean Affairs · doi:10.1080/18366503.2023.2287872 · Cited by 17 · see citing works

Advancing artificial intelligence in ocean and maritime engineering: Trends, progress, and future directions

Juan, N. P., Valdecantos, V. N., & Troch, P. (2025) · Ocean Engineering · doi:10.1016/j.oceaneng.2025.122077 · Cited by 16 · see citing works

Addressing Challenges for the Effective Adoption of Artificial Intelligence in the Energy Sector

Park, C. (2025) · Sustainability · doi:10.3390/su17135764 · Cited by 17 · see citing works

Remote Wind Turbine Inspections: Exploring the Potential of Multimodal Drones

Omara, A., Nasser, A. G., Alsayed, A., & Nabawy, M. R. A. (2024) · Drones · doi:10.3390/drones9010004 · Cited by 13 · see citing works

Geospatial Analysis of Scour in Offshore Wind Farms

Matutano, C., Velasco-Gallego, C., Juan, N. P., Valdecantos, V. N., & Cubo-Mateo, N. (2023) · Energies · doi:10.3390/en16155616 · Cited by 12 · see citing works

Characterisation of Composite Materials for Wind Turbines Using Frequency Modulated Continuous Wave Sensing

Tang, W., Blanche, J. R. D., Mitchell, D., Harper, S., & Flynn, D. (2023) · Journal of Composites Science · doi:10.3390/jcs7020075 · Cited by 11 · see citing works

Cost‐benefit assessment framework for robotics‐driven inspection of floating offshore wind farms

Khalid, O., Hao, G., Macdonald, H., Cooperman, A. M., McAuliffe, F. D., & Desmond, C. (2023) · Wind Energy · doi:10.1002/we.2881 · Cited by 11 · see citing works

Scour assessment for offshore wind turbines: a state-of-the-art review

Feng, X., Zheng, J., Liu, Y., & Bao, Y. (2025) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-025-00934-w · Cited by 11 · see citing works

Cyber-physical-human systems for mobile robots in energy asset management: Current practices and future opportunities

Mitchell, D., Baniqued, P. D. E., Kivrak, H., Blanche, J. R. D., Bremner, P., Harper, S., Jiang, Z., Pulgarín, E. J. L., Paterson, J., Carrasco, J., et al. (2025) · Energy and AI · doi:10.1016/j.egyai.2025.100570 · Cited by 9 · see citing works

A review on operation & maintenance strategies for offshore wind farms

de Boer, D., & Xydis, G. A. (2023) · Ships and Offshore Structures · doi:10.1080/17445302.2023.2256594 · Cited by 7 · see citing works

NeoSLAM: Long-Term SLAM Using Computational Models of the Brain

Pizzino, C. A. P., Costa, R. R., Mitchell, D., & Vargas, P. A. (2024) · Sensors · doi:10.3390/s24041143 · Cited by 7 · see citing works

From Heights to the Deep Sea, a Review of Robots Interacting with Offshore Structures

Graafland, C. H., & Jovanova, J. (2024) · Robotics Reports · doi:10.1089/rorep.2023.0026 · Cited by 6 · see citing works

Artificial intelligence applications for supply chain risk management considering interconnectivity, external events exposures and transparency: a systematic literature review

Ordibazar, A. H., Hussain, O. K., Chakrabortty, R. K., Irannezhad, E., & Saberi, M. (2025) · Modern Supply Chain Research and Applications · doi:10.1108/mscra-10-2024-0041 · Cited by 10 · see citing works

Artificial Intelligence: Trends and Challenges

Karthick, A. V., & Gopalsamy, S. (2022) · International Conference on Parallel, Distributed and Grid Computing (PDGC) · doi:10.1109/pdgc56933.2022.10053238 · Cited by 6 · see citing works

Addressing Non-Intervention Challenges via Resilient Robotics Utilizing a Digital Twin

Harper, S., Mitchell, D., Nandakumar, S. C., Blanche, J. R. D., Lim, T., & Flynn, D. (2023) · IEEE International Conference on Omni-layer Intelligent Systems (COINS) · doi:10.1109/coins57856.2023.10189310 · Cited by 6 · see citing works

A Forward-Looking Assessment of Robotized Operation and Maintenance Practices for Offshore Wind Farms

Vieira, H., & Castro, R. M. G. (2025) · Energies · doi:10.3390/en18061508 · Cited by 5 · see citing works

Floating offshore wind in Japan: addressing the challenges, efforts, and research gaps for large-scale commercialization

Wada, R., Nejad, A. R., Iijima, K., SHIMAZAKI, J., Ibrion, M., Wanaka, S., Nomura, H., Mizushima, Y., Nakashima, T., & Takagi, K. (2026) · Wind energy science · doi:10.5194/wes-11-1013-2026 · Cited by 5 · see citing works

Microwave Foresight Sensing for Safety Compliance in Autonomous Operations

Mitchell, D., Blanche, J. R. D., Harper, S., Lim, T., & Flynn, D. (2023) · IEEE International Conference on Omni-layer Intelligent Systems (COINS) · doi:10.1109/coins57856.2023.10189296 · Cited by 5 · see citing works

D2: An LLM agent driving end-to-end visual AI modeling in energy platforms

Li, Y., Zhao, Q., Hou, M., Bai, Q., Zou, X., Xie, C., Shu, C., Ma, B., & Li, Z. (2025) · Energy and AI · doi:10.1016/j.egyai.2025.100582 · Cited by 4 · see citing works

A Systemic Evaluation of Energy Digital Transformation Policies for the G20 Group of Countries: A Four-Dimensional Framework and Cross-National Quantitative Analysis

Wang, J., & Wang, B. (2025) · Sustainability · doi:10.3390/su17209301 · Cited by 4 · see citing works

A comprehensive review of floating renewable energy technologies

baig, M. B., Alsenani, T. R., Koondhar, M. A., Albasha, L., Mahariq, I., & Touti, E. (2026) · Energy Strategy Reviews · doi:10.1016/j.esr.2026.102082 · Cited by 4 · see citing works

Securing Sustainability Through Artificial Intelligence and Blue Economy

Zaeri, N. (2025) · Practice, progress, and proficiency in sustainability · doi:10.4018/979-8-3693-7893-9.ch003 · Cited by 4 · see citing works

AI for Energy Management: Driving Efficiency and Sustainability in the MENA Region

Ghorfi, T., Laraqui, S., & Nachit, H. (2025) · Springer eBooks · doi:10.1007/978-3-031-75589-7_10 · Cited by 4 · see citing works

HMCF: A Human-in-the-Loop Multi-robot Collaboration Framework Based on Large Language Models

Li, Z., Wang, Y., Wu, W., Xu, Y., & Stein, S. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-13562-9_12 · Cited by 6 · see citing works

Supporting offshore wind growth: Automating data analysis in digital aerial surveys to enhance wildlife protection and survey efficiency

Bartlett, B., dos Santos, M. C., Trslić, P., & Dooly, G. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103242 · Cited by 3 · see citing works

Artificial intelligence in energy optimization and renewable energy system integration

Omerbegović, N. S., & Omerbegović, D. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-34076-5.00009-2 · Cited by 4 · see citing works

Thermal management of biped robot using compressed air with vortex tube: A coupled electric-magnetic-thermal-mechanical modeling

Ren, Q., Zhou, K., Yu, Q., Jiang, H., & Kong, L. (2025) · Case Studies in Thermal Engineering · doi:10.1016/j.csite.2025.107388 · Cited by 3 · see citing works

Towards autonomous subsea processing: A review of integrated production systems, modeling, and multiobjective optimization

Allahyarzadeh-Bidgoli, A., Barbosa, R. S., Hamidishad, N., Ferreira, M. S., de Mello, P. E. B., Orlowski, R. T. C., Martins, M. R., & Yanagihara, J. I. (2026) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2026.117071 · Cited by 3 · see citing works

Exploring macro patenting trends and key technological components in offshore wind energy

Pasimeni, F., Navarro, J. P. J., Boedt, G., & Schaaf, J. (2024) · World Patent Information · doi:10.1016/j.wpi.2024.102300 · Cited by 3 · see citing works

A Comprehensive Review of Offshore Substations: Key Aspects and Trends

Ribeiro, T. P., Monteiro, P. R. D., Fortes, M. Z., & Borges, T. T. (2025) · Journal of Engineering Science and Technology Review · doi:10.25103/jestr.183.07 · Cited by 3 · see citing works

Microwave Sensing for Avoidance of High-Risk Ground Conditions for Mobile Robots

Blanche, J. R. D., Mitchell, D., West, A., Harper, S., Groves, K., Lennox, B., Watson, S., & Flynn, D. (2023) · IEEE International Conference on Omni-layer Intelligent Systems (COINS) · doi:10.1109/coins57856.2023.10189266 · Cited by 3 · see citing works

Data-Driven Logistics Optimization

Kanyepe, J. (2024) · Advances in logistics, operations, and management science book series · doi:10.4018/979-8-3693-6205-1.ch003 · Cited by 5 · see citing works

Reliability analysis of positioning accuracy for industrial robots incorporating kinematic and flexible parameter uncertainties

Qiu, G., Liu, X., Jia, Z., Huang, P., Gu, Y., & Xiang, G. (2025) · Measurement Science and Technology · doi:10.1088/1361-6501/adf65f · Cited by 2 · see citing works

Design, Modeling, and Validation of Multi‐Segmental Adaptive Pipeline Robots in Complex Pipeline Environments

Liu, K., He, X., Zhang, J., Cao, N., Zheng, X., & Dai, Y. (2025) · Journal of Field Robotics · doi:10.1002/rob.70133 · Cited by 2 · see citing works

Application of Machine Learning to Improve Safety in the Wind Industry

Barouti, B. D., & Kadry, S. (2024) · Intelligent systems reference library · doi:10.1007/978-3-031-54038-7_5 · Cited by 1 · see citing works

Redefining Digital Twins – A Wind Energy Operations and Maintenance Perspective

Tuton, E., Ma, X., & Dethlefs, N. (2024) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2767/5/052001 · Cited by 1 · see citing works

Predictive Current Control of Five-Phase Asynchronous Generator in Wind Energy Systems

Murali, C., & Chengaiah, C. (2024) · International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles (ICPEEV) · doi:10.1109/icpeev63032.2024.10932059 · Cited by 1 · see citing works

A Cyber Physical Architecture for Symbiotic Multi-robot Fleet Management

Mitchell, D., Gu, Y., Blanche, J. R. D., Harper, S. B., Archibald, B., Sevegnani, M., & Flynn, D. (2025) · Gaming media and social effects · doi:10.1007/978-981-96-2332-7_17 · Cited by 1 · see citing works

Artificial Intelligence and Its Applications in Robotics

Hong, S. H., & Wang, Y. (2025) · Applied Sciences · doi:10.3390/app15147907 · Cited by 1 · see citing works

A hybrid Artificial Intelligence method for estimating flicker in power systems

Enayati, J., Asef, P., & Benoit, A. (2025) · Energy and AI · doi:10.1016/j.egyai.2025.100614 · Cited by 1 · see citing works

Bluetech in Baltimore: Co-creating smart city innovations with local youth

Masucci, M. M., Mahmoudi, D., & Wiig, A. (2026) · Applied Geography · doi:10.1016/j.apgeog.2025.103887 · Cited by 1 · see citing works

Architectural Pedagogy in the Age of Artificial Intelligence: A Case Study on Integrating AI into the Core Programming and Design Education Course

ElDamshiry, K. K., & Moussa, R. R. (2025) · International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) · doi:10.1109/iccike67021.2025.11318204 · Cited by 1 · see citing works

Toward sustainable outcomes for offshore wind and biodiversity in the digital era: Principles for collaborative digital ecosystem-based governance

Solman, H., & Caitlin, M. (2026) · iScience · doi:10.1016/j.isci.2026.114881 · Cited by 1 · see citing works

Integrated assessment of energy systems: opportunities and barriers for digital twin and artificial intelligence adoption

Amponsah, J., Ansah, K. K., Asare, D. B., & Siameh, F. O. (2026) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2026.116962 · Cited by 2 · see citing works

Coupled trajectory optimization and tuning of tracking controllers for parafoil generator

Long, X., Sun, M., Chen, Z., & Wang, Y. (2022) · International Journal of Green Energy · doi:10.1080/15435075.2022.2117554 · Cited by 1 · see citing works

A Computational Methodology for Assessing Wind Potential

Christakis, N., Evangelou, I., Drikakis, D., & Kossioris, G. (2024) · Energies · doi:10.3390/en17061385 · Cited by 1 · see citing works

Transforming vessel and fleet operations in oil and gas: A framework for integrated operations planning and efficiency optimization

Anaba, D. C., Agho, M. O., Onukwulu, E. C., & Egbumokei, P. I. (2025) · Gulf Journal of Advance Business Research · doi:10.51594/gjabr.v3i1.78 · Cited by 1 · see citing works

Resilient Autonomy: A Digital Architecture for Symbiotic Multi-Robot Fleet Management

Mitchell, D., Harper, S., Nandakumar, S., Blanche, J. R. D., Lim, T., Imran, M. A., Taha, A., & Flynn, D. (2025) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc61545.2025.10978450 · Cited by 1 · see citing works

Artificial Intelligence and Robotics Technologies Applied to Offshore Wind Energy

de Paula, M. P., de Noronha, M. E. S., Valente, U. G., Domingues, B. R. I., & Souza, L. J. (2025) · SDGs Studies Review. · doi:10.37497/sdgs.v6istudies.31 · Cited by 1 · see citing works

Machine Learning and Artificial Intelligence

Saagoto, M. S., Farhan, A., Barua, P., Hussain, I., Hasan, K., & Hasan, T. (2024) · Emerging trends in mechatronics · doi:10.1007/978-981-97-7117-2_6 · Cited by 1 · see citing works

GeoPOINT – synthetic point generator for geospatial applications

Stępień, G., Kabała, K., & Śledziowski, J. (2025) · SoftwareX · doi:10.1016/j.softx.2025.102415 · Cited by 1 · see citing works

On the Characterization of Resilience vs Robustness of Autonomous Robotic Systems

Freeman, R. H. (2022) · AIAA Accelerating Space Commerce, Exploration, and New Discovery Conference (ASCEND) · doi:10.2514/6.2022-4401

Non-Contact Sensing for Anomaly Detection in Wind Turbine Blades: A Focus-Svdd with Complex-Valued Auto-Encoder ApproachPreprint

Frusque, G., Mitchell, D., Blanche, J. R. D., Flynn, D., & Fink, O. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4476708

Towards an Effective Artificial Intelligence Systems for Condition Monitoring of Off-Shore Wind Turbines: The Application of Sensor Fusion

Al‐Habaibeh, A., Shakmak, B., Boateng, A., & Lee, H. (2023) · Springer proceedings in energy · doi:10.1007/978-3-031-30960-1_2

Industrial 4.0 Adaptation and Challenges in Pattern Recognition, Computer Vision, and IoT

Buttar, A. M., & Arshad, N. (2023) · Advances in systems analysis, software engineering, and high performance computing book series · doi:10.4018/978-1-6684-8602-3.ch007

Squads of Adaptive Robots (SoAR): an architecture for operating heterogeneous fleets of marine robots

Salavasidis, G., Saeharaseelan, T., Jones, D., Kirk, J., Fenucci, D., Ramdhanie, S., Kamarudzaman, I., Morris, A. W., Kingsland, M., Lorenzo, A., et al. (2023) · MTS/IEEE OCEANS Conference (OCEANS) · doi:10.1109/oceanslimerick52467.2023.10244648

Enhancing Business Capabilities Through Digital Transformation, Upscaling, and Upskilling in the Era of Industry 5.0

Subburayan, B. (2023) · Advances in systems analysis, software engineering, and high performance computing book series · doi:10.4018/978-1-6684-9576-6.ch007

Mapping of Artificial Intelligence and Robotics Technologies Applied to Offshore Wind Energy

de Paula, M. P., de Noronha, M. E. S., Valente, U. G., Domingues, B. R. I., & Souza, L. J. (2024) · Revista Inteligência Competitiva · doi:10.24883/eaglesustainable.v15i.474

Sustainable Models for the Development of the Energy Sector Post-COVID-19

Marinova-Stoyanova, M. (2024) · Electrical Engineering Faculty Conference (BulEF) · doi:10.1109/bulef63204.2024.10794942

Windenergie

Brink, G. (2025) · Springer eBooks · doi:10.1007/978-3-658-46041-9_6

Tropical cyclones and the energy sector

Yeilding, C. A., & Jones, P. S. (2025) · Elsevier eBooks · doi:10.1016/b978-0-323-95390-0.00008-x

Navigating the Challenges

Yaswanth, G., Gupta, A., & Jha, A. (2025) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-7550-1.ch014

The Future of AI in Services Marketing

Kathuria, S., Kumar, R., & Garg, N. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-0164-8.ch007

Revolutionizing AI and Robotics in the Oil and Gas Industry

Qamar, R., & Zardari, B. A. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-8156-4.ch007

Dynamic Line Sag Monitoring Using Image-Based Bézier Curve Fitting

Abed, A., Trabelsi, H., & Derbel, F. (2025) · International Multi-Conference on Systems, Signals & Devices (SSD) · doi:10.1109/ssd64182.2025.10990005

Enabling the Ocean Internet of Things with Renewable Marine Energy

Topper, M. B. R., Jarnoux, N., Costello, R., Murtagh, C., Giorgi, S., & Kennedy, B. (2025) · International Marine Energy Journal · doi:10.36688/imej.8.139-147

ALGORITHMIC SUPPORT OF ADAPTIVE CONTROL OF OFFSHORE AUTONOMOUS PLATFORMS OPERATION MODES

Volyanskyy, S., Шумило, O. О., Мельник, О. М., & Volianska, Y. (2025) · Municipal economy of cities · doi:10.33042/3083-6727-2025-6-194-426-435

Energy Harvesting in Bio-Inspired Robotics: Addressing Power Autonomy Limitations

Judijanto, L., & Nurhayati, S. (2025) · International Conference on NexGen Networks and Cybernetics (IC2NC) · doi:10.1109/ic2nc67409.2025.11376568

Intelligent Construction Education: A Virtual Simulation System Based on AI-Driven Risk Prediction

Zhang, J., Huang, Y., Mariadas, P. A., Kang, H. M., Li, X., Wang, J., & Xu, L. (2025) · International Conference on Information Science and Education (ICISE-IE) · doi:10.1109/icise-ie68873.2025.11377694

Advanced learning techniques for AI in renewable energy

Hussain, A., Aslam, A., Wang, R., & Qureshi, K. N. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-40618-8.00007-3

5400638 Calibration system for compensation of arm length variation of an industrial robot due to peripheral temperature change

Seoul, K. M. S. (1994) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/0736-5845(94)90026-4

Artificial Intelligence and Robotics Technologies Applied to Offshore Wind Energy

de Paula, M. P., de Noronha, M. E. S., Valente, U. G., Domingues, B. R. I., & Souza, L. J. (2025) · SDGs Studies Review. · doi:10.37497/sdgs.v6istudies.31 · Cited by 1 · see citing works

Mapping of Artificial Intelligence and Robotics Technologies Applied to Offshore Wind Energy

de Paula, M. P., de Noronha, M. E. S., Valente, U. G., Domingues, B. R. I., & Souza, L. J. (2024) · Revista Inteligência Competitiva · doi:10.24883/eaglesustainable.v15i.474

Remotely Operated and Autonomous Underwater Vehicles in Offshore Wind Farms: A Review on Applications, Challenges, and Sustainability Perspectives

Kanashiro, R. A., Piai, J. C., Nunes, W. R. B. M., & de Melo, L. F. (2025) · Sustainability · doi:10.3390/su18010002 · Cited by 6 · see citing works

A multi-robot platform for the autonomous operation and maintenance of offshore wind farms blue sky ideas track

Bernardini, S., Jovan, F., Jiang, Z., Watson, S., Moradi, P., Richardson, T., Sadeghian, R., & Sareh, S. (2020) · IRIS Research product catalog (Sapienza University of Rome)