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Found 19 papers, 7 papers with code
Preference-Driven Active 3D Scene Representation for Robotic Inspection in Nuclear Decommissioning
By unifying explicit 3D geometric modeling with implicit human-in-the-loop optimization, this work establishes a foundation for adaptive, safety-critical robotic perception systems, paving the way for enhanced automation in nuclear decommissioning, remote maintenance, and other high-risk environments.
Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey
However, ensuring safety and efficiency in interactive during within dynamic and diverse environments is still a primary barrier to large-scale AV adoption.
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey
In this survey, we provide a timely and focused review of the literature on trustworthy T2I DMs, covering a concise-structured taxonomy from the perspectives of property, means, benchmarks and applications.
Modelling the Formation of Peer-to-Peer Trading Coalitions and Prosumer Participation Incentives in Transactive Energy Communities
Our experimental study shows that, for both market models, only a small number of P2P contracts, and only a fraction of total prosumers in the community are required to achieve the majority of the maximal potential Gains from Trade.
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach
In this paper, we enhance the quality assurance of manufacturing utilizing FMCW radar as a non-destructive sensing modality.
Bayesian Learning for the Robust Verification of Autonomous Robots
Autonomous robots used in infrastructure inspection, space exploration and other critical missions operate in highly dynamic environments.
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles
The utilisation of Deep Learning (DL) is advancing into increasingly more sophisticated applications.
Data-driven modelling of energy demand response behaviour based on a large-scale residential trial
Recent years have seen an increasing interest in Demand Response (DR), as a means to satisfy the growing flexibility needs of modern power grids.
Machine learning pipeline for battery state of health estimation
In this paper, we design and evaluate a machine learning pipeline for estimation of battery capacity fade - a metric of battery health - on 179 cells cycled under various conditions.
Symbiotic System of Systems Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms
To reduce Operation and Maintenance (O&M) costs on offshore wind farms, wherein 80% of the O&M cost relates to deploying personnel, the offshore wind sector looks to Robotics and Artificial Intelligence (RAI) for solutions.
BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations
Given the pressing need for assuring algorithmic transparency, Explainable AI (XAI) has emerged as one of the key areas of AI research.
Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles
Context: Demonstrating high reliability and safety for safety-critical systems (SCSs) remains a hard problem.
VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change
Visual Place Recognition (VPR) is the process of recognising a previously visited place using visual information, often under varying appearance conditions and viewpoint changes and with computational constraints.
A Safety Framework for Critical Systems Utilising Deep Neural Networks
Increasingly sophisticated mathematical modelling processes from Machine Learning are being used to analyse complex data.
Consider ethical and social challenges in smart grid research
Artificial Intelligence and Machine Learning are increasingly seen as key technologies for building more decentralised and resilient energy grids, but researchers must consider the ethical and social implications of their use
Towards Integrating Formal Verification of Autonomous Robots with Battery Prognostics and Health Management
The battery is a key component of autonomous robots.
Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing
There is an urgent societal need to assess whether autonomous vehicles (AVs) are safe enough.
Predicting the Voltage Distribution for Low Voltage Networks using Deep Learning
Many of the proposed methods require full observability of the networks, motivating the installations of smart meters and advance metering infrastructure in many countries.
Probabilistic Model Checking of Robots Deployed in Extreme Environments
Robots are increasingly used to carry out critical missions in extreme environments that are hazardous for humans.
