The occurrence of manufacturing defects in wind turbine blade (WTB)
prod...
With the emergence of energy communities, where a number of prosumers in...
Mobile robot autonomy has made significant advances in recent years, wit...
Multi-robot systems face challenges in reducing human interventions as t...
Robotic platforms are highly programmable, scalable and versatile to com...
Increasingly, high value industrial markets are driving trends for impro...
A global trend in increasing wind turbine size and distances from shore ...
The utilisation of Deep Learning (DL) is advancing into increasingly mor...
Lithium-ion batteries are ubiquitous in modern day applications ranging ...
To reduce Operation and Maintenance (O M) costs on offshore wind farms...
A key impediment to the use of AI is the lacking of transparency, especi...
Context: Demonstrating high reliability and safety for safety-critical
s...
Visual Place Recognition (VPR) is the process of recognising a previousl...
Increasingly sophisticated mathematical modelling processes from Machine...
Artificial Intelligence and Machine Learning are increasingly seen as ke...
Renewable energy is increasingly being curtailed, due to oversupply or
n...
Renewable energy has achieved high penetration rates in many areas, lead...
The battery is a key component of autonomous robots. Its performance lim...
There is an urgent societal need to assess whether autonomous vehicles (...
The energy landscape for the Low-Voltage (LV) networks are beginning to
...
Robots are increasingly used to carry out critical missions in extreme
e...