Marine operations required to transfer technicians and equipment represent a significant
proportion of the total cost of offshore wind. The profile of sites being considered for floating …

Dealing safely with nuclear waste is an imperative for the nuclear industry. Increasingly,
robots are being developed to carry out complex tasks such as perceiving, gras**, cutting …

Computer vision and natural language processing (NLP) are two active machine learning
research areas. However, the integration of these two areas gives rise to a new …

Cyber–physical systems (CPS) for device-to-device (D2D) communications are gaining
prominence in today's sophisticated data transmission infrastructures. This research intends …

Multi-agent systems (MASs) are distributed and complex software that demand specific
software engineering features. Testing is a critical phase when validating software, and it is …

Operations in extreme and hostile environments, such as offshore oil and gas production,
nuclear decommissioning, nuclear facility maintenance, deep mining, space exploration …

Organizations dealing with mission-critical AI based autonomous systems may need to
provide continuous risk management controls and establish means for their governance. To …

Formal Methods are mathematically-based techniques for software design and engineering,
which enable the unambiguous description of and reasoning about a system's behaviour …

Since 2015, there has been an increase in articles on anomaly detection in robotic systems,
reflecting its growing importance in improving the robustness and reliability of the …

In a seismic context, it is fundamental to deploy distributed sensor networks for Structural
Health Monitoring (SHM). Indeed, regularly gathering data from a structure/infrastructure …