News

Robotic Technologies in Offshore Wind

Published today in Power Technology, written by Yoana Cholteeva “As the need for better capabilities and more predictability in the offshore wind sector is growing, the industry has welcomed its collaboration with robotic technologies. Robotics and AI come as powerful tools to help unlock human potential, providing assistance and support to inform human decision making, often […]


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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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Good Vibrations!

The Smart Systems Group are thrilled to share an online article published in Scottish Construction Now featuring research led by Dr. Daniil Yurchenko. Unused energy trapped within bridges is to be harvested in a major new international project led by Heriot-Watt University. Traffic and wind regularly cause low frequency vibrations to ripple through bridge building materials […]


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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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How Robots Could Limit the Environmental Impact of Offshore Windfarms

Author: Prof. David Flynn Spending on global offshore renewable energy infrastructure over the next ten years is expected to reach over US$16 billion (£11.3bn). This involves creating an extra 2.5 million kilometres of global submarine cables by 2030. To lay and secure these cables against ocean currents involves ploughing the seabed and dumping rocks and concrete “mattresses” to serve […]


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DIGIT Editor’s Pick | The Challenges and Opportunities of Big Data

Published online by Digit, the Smart Systems Group’s Professor David Flynn explores how industry, society and government extract future value from Big Data. Many businesses, organisations and government departments are increasingly interested in unlocking the value of big data analytics to gain a detailed insight into their stakeholders and market trends. However, this fascination with […]


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New Publication: VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change

An international and multidisciplinary research collaboration between Heriot-Watt University, Queensland University of Technology, Delft University of Technology and the University of Essex, has led to a publication on an open source framework for assessing the performance of VPR techniques. Visual place recognition (VPR) is the process of recognising a previously visited place using visual information, […]


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Internet of Things: A Review on Theory Based Impedance Matching Techniques for Energy Efficient RF Systems

Within an increasingly connected world, the exponential growth in the deployment of Internet of Things (IoT) applications presents a significant challenge in power and data transfer optimisation. Currently, the maximization of Radio Frequency (RF) system power gain depends on the design of efficient, commercial chips, and on the integration of these chips by using complex […]


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