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 […]
Category: News
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 […]
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 […]
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, […]
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 […]
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 […]
New Publication: Analysis of Strategic Renewable Energy, Grid and Storage Capacity Investments via Stackelberg-Cournot modelling
Congratulations to Dr. Merlinda Andoni, Dr. Valentin Robu, Dr. Benoit Couraud, Dr. Wolf-Gerrit Fruh, Mr. Sonam Norbu and Prof. David Flynn for the acceptance of their manuscript “Analysis of Strategic Renewable Energy, Grid and Storage Capacity Investments via Stackelberg-Cournot modelling” for publication in IEEE Access. IEEE Access is an award-winning, multidisciplinary, all-electronic archival journal, continuously presenting the […]
New Publication: Flexible Low-Density Polyethylene–BaTiO3 Nanoparticle Composites for Monitoring Leakage Current in High-Tension Equipment
Congratulations to Ranjeetkumar Gupta, David Bucknall and David Flynn on the acceptance of their recent manuscript “Flexible Low-Density Polyethylene–BaTiO3 Nanoparticle Composites for Monitoring Leakage Current in High-Tension Equipment” for publication in Applied Nanomaterials. ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications […]
New Release: HOME Offshore Summary Brochure
The HOME Offshore team are pleased to announce the release of the new brochure, where we showcase how to de-risk offshore wind operations, reduce costs and make better use of assets through the applications of Modelling and Data Science, Machine Learning, Advanced Sensing and Robotics. An excellent academic and industrial collaboration thanks to the consortium […]
New Publication: A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature
Congratulations to Darius Roman, Valentin Robu and David Flynn for acceptance of their research to IEEE Access. Their publication “A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature” was a collaborative work between the Smart Systems Group, the Argonne National Laboratory, Baker Hughes, the Center for Advanced Life Cycle Engineering (CALCE) and […]