The Smart Systems Group have continued their work in creating a Symbiotic System of Systems Approach (SSOSA) for robotics and autonomous systems. A challenge exists for robotics when these systems are deployed in known or unknown areas around humans, other robots and infrastructure. The Smart Systems Group seek to address these Resilience and Reliability challenges […]
Category: Conference
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 […]
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 […]
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 […]
Asset Integrity Monitoring of Wind Turbine Blades with Non-Destructive Radar Sensing -Available on IEEE Xplore Open Access
Global growth in onshore and offshore wind energy has created a forecasted 11.5% Compound Annual Growth Rate (CAGR) increase in Wind Turbine (WT) blades throughout 2020-2025. The ability to verify blade condition throughout the asset lifecycle is integral to economic and reliable renewable energy supplies. Currently, commercial inspection of deployed wind turbine blades is predominately […]
An Evaluation of Millimetre-wave Radar Sensing for Civil Infrastructure – Available on IEEE Xplore Open Access
Critical infrastructure is a dense network of systems that provide vital services such as energy, transport and water. Continuous cycles of monitoring and repair are vital to the economic development and functions of a community. Current detection methods of subsurface fault precursors in civil infrastructure are insufficient for subsurface defect detection. In this paper, “An […]
New Publication: Interactive Digital Twins Framework for Asset Management Through Internet
The Smart Systems Group congratulates Mr. Leo Kong for the acceptance of his paper to the IEEE Global Conference on Artificial Intelligence & Internet of Things on Monday 14th December. This conference was held virtually and hosted in Dubai, UAE. Co-authored by Mr. Sam Harper, Mr. Daniel Mitchell, Dr. Jamie Blanche, Dr. Theo Lim and […]
New Publication: Run-time Analysis of Road Surface Conditions Using Non-Contact Microwave Sensing
The Smart Systems Group congratulates Dr. Jamie Blanche for the acceptance of his paper to the IEEE Global Conference on Artificial Intelligence & Internet of Things on Sunday 13th December. This conference was held virtually and hosted in Dubai, UAE. Co-authored by Mr. Daniel Mitchell and Prof. David Flynn, this paper presents the results of […]
Asset Integrity Monitoring of Wind Turbine Blades with Non-Destructive Radar Sensing
Global growth in onshore and offshore wind energy has created a forecasted 11.5% Compound Annual Growth Rate (CAGR) increase in Wind Turbine (WT) blades throughout 2020-2025. The ability to verify blade condition throughout the asset lifecycle is integral to economic and reliable renewable energy supplies. Currently, commercial inspection of deployed wind turbine blades is predominately […]