New Publication: Yield Assessment of off-grid PV Systems in Nigeria

Well done to our PhD student Christie Etukudor on her recent publication at the IEEE Power Africa Conference. Christie’s research was in response to the needs of over 592 million people who in Sub-Saharan Africa have no access to electricity. An issue being compounded by COVID related delays to investments in critical energy services. Christie created a hybrid […]


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MMLDT Conference – Autonomy and Me: Working Together for a Better Future

Congratulations to Mr. Daniel Mitchell, Mr. Sam Harper and Prof. David Flynn in their recent presentation at the Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology (MMLDT) Conference. This conference was held over September 26-29, 2021 and virtually in Hyatt Regency Mission Bay, San Diego, CA. Machine Learning (ML) and Digital […]


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AI Safety 2021 Best Paper Award

We would like to congratulate our colleagues at Heriot-Watt, Liverpool University and DSTL, namely Zhao, X., Huang, W., Banks, A., Cox, V., Flynn, D., Schewe, S., & Huang, X, on winning the best paper award at AI Safety 2021 for our research on: Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational […]


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Robotic Engineering Superhero’s

Wind turbines harness the wind to produce energy, however, they can be quite dangerous to maintain. Offshore engineers are subjected to dangerous conditions which include hazardous weather conditions and environments. Robotic platforms which include robots for air, land and sea, can be used to complete inspection and maintenance missions to reduce the risk and increase […]


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Autonomous aerial-based visual monitoring of energy assets under constrained environments- PhD

The Smart Systems Group are pleased to be supporting a PhD opportunity in Malaysia. Lead by Heriot-Watt University Malaysia by our academic colleague Dr John See, this PhD will explore Autonomous aerial-based visual monitoring of energy assets under constrained environments. This PhD represents an excellent opportunity to conduct research in a creative and multidisciplinary environment, interacting […]


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Dispatch – Ministerial Mention for New Edinburgh Research Partnership Project

Minister for Climate Change Lord Callanan said:   “The way we use energy in our buildings makes up almost a third of all UK carbon emissions. Reducing that to virtually zero is going to be key to eradicating our contribution to climate change by 2050. That’s why it’s important that innovative projects like DISPATCH in Edinburgh receive […]


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Asset Integrity Dashboard Version 2 & Machine Learning

As Robotics and Autonomous Systems (RAS) take more responsibility for Operations and Maintenance (O&M), the data collected must be displayed in a manner which is easily understandable and intuitive for remote human operators. As we progress the Asset Integrity Dashboard (AID) tool, the Smart Systems Group have the potential to use the AID to collect […]


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Autonomy and Me: Symbiotic Partnerships Between People and Systems

Thank you to Clearpath Robotics for highlighting how our research is establishing a pathway for the transition of Trustworthy Autonomous Services into industry. Productive collaboration, Run-Time mission resilience and Safety Compliance was achieved using a digital environment to support the 3C’s (Collaboration, Coordination and Corroboration) across people, infrastructure, the environment, and resident robotics using a hyper-enabled collaborative […]


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

We are pleased to announce an early release of our research into symbiotic systems. This top-down approach to modelling the complex interactions of industrial autonomous services presents several advancements that will enable a roadmap to trust, resilient autonomous operations and safety compliance. The preprint is available on ArXiv by clicking here and video presentation which […]


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AI-Driven Maintenance Support for Downhole Tools and Electronics Operated in Dynamic Drilling Environments – Available on IEEE Xplore Open Access

The Oil & Gas industry understands the potential of Artificial Intelligence (AI) and Big Data. However, contrary to AI consumer applications and many other industrial sectors, the dynamic and harsh environments of drilling and production operations as well as the global scale brings a very unique set of challenges for the deployment of industrialised, scalable […]


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