280 citations · 465 across the 12 of their papers we have counts for
12 papers
Developing Multi-Agent Systems with Degrees of Neuro-Symbolic Integration [A Position Paper]
Louise Dennis, Marie Farrell, Michael Fisher
In this short position paper we highlight our ongoing work on verifiable heterogeneous multi-agent systems and, in particular, the complex (and often non-functional) issues that im…
Extending Attack-Fault Trees with Runtime Verification
Rafael C. Cardoso, Angelo Ferrando, Michael Fisher
Autonomous systems are often complex and prone to software failures and cyber-attacks. We introduce RVAFTs, an extension of Attack-Fault Trees (AFTs) with runtime events that can b…
A Compositional Approach to Verifying Modular Robotic Systems
Matt Luckcuck, Marie Farrell, Angelo Ferrando +3
Robotic systems used in safety-critical scenarios often rely on modular software architectures, and increasingly include autonomous components. Verifying that these modular robotic…
Rule-based Adaptations to Control Cybersickness in Social Virtual Reality Learning Environments
Samaikya Valluripally, Vaibhav Akashe, Michael Fisher +3
Social virtual reality learning environments (VRLEs) provide immersive experience to users with increased accessibility to remote learning. Lack of maintaining high-performance and…
Towards Compositional Verification for Modular Robotic Systems
Rafael C. Cardoso, Louise A. Dennis, Marie Farrell +2
Software engineering of modular robotic systems is a challenging task, however, verifying that the developed components all behave as they should individually and as a whole presen…
Heterogeneous Verification of an Autonomous Curiosity Rover
Rafael C. Cardoso, Marie Farrell, Matt Luckcuck +2
The Curiosity rover is one of the most complex systems successfully deployed in a planetary exploration mission to date. It was sent by NASA to explore the surface of Mars and to i…
A Safety Framework for Critical Systems Utilising Deep Neural Networks
Xingyu Zhao, Alec Banks, James Sharp +4
Increasingly sophisticated mathematical modelling processes from Machine Learning are being used to analyse complex data. However, the performance and explainability of these model…
A Summary of Formal Specification and Verification of Autonomous Robotic Systems
Matt Luckcuck, Marie Farrel, Louise A. Dennis +1
Autonomous robotic systems are complex, hybrid, and often safety-critical; this makes their formal specification and verification uniquely challenging. Though commonly used, testin…
Modular Verification of Autonomous Space Robotics
Marie Farrell, Rafael C. Cardoso, Louise A. Dennis +6
Ensuring that autonomous space robot control software behaves as it should is crucial, particularly as software failure in space often equates to mission failure and could potentia…
Towards Integrating Formal Verification of Autonomous Robots with Battery Prognostics and Health Management
Xingyu Zhao, Matt Osborne, Jenny Lantair +6
The battery is a key component of autonomous robots. Its performance limits the robot's safety and reliability. Unlike liquid-fuel, a battery, as a chemical device, exhibits compli…
Formal Specification and Verification of Autonomous Robotic Systems: A Survey
Matt Luckcuck, Marie Farrell, Louise Dennis +2
Autonomous robotic systems are complex, hybrid, and often safety-critical; this makes their formal specification and verification uniquely challenging. Though commonly used, testin…
A Corroborative Approach to Verification and Validation of Human--Robot Teams
Matt Webster, David Western, Dejanira Araiza-Illan +4
We present an approach for the verification and validation (V&V) of robot assistants in the context of human-robot interactions (HRI), to demonstrate their trustworthiness through…