Autonomous systems are technologies that interact within an environment to gain knowledge and build awareness, learn, adapt and make decisions, with little or no human control. They include automated decision-making software and ‘smart’ devices as well as self-driving cars, drones and healthcare and surgical robots. These systems are already used in many sectors of society. Given their increased use, it is important to ensure that they are designed, built and deployed in a way that can be fully relied upon.
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RoboTool supports graphical modelling, validation, and automatic generatits...
https://www.cs.york.ac.uk/robostar/robotool/The MCAPL Project provides a tool for prototyping BDI agent programming languages ....
https://autonomy-and-verification.github.io/tools/mcaplROSMonitoring provides a Runtime Verification Framework for ROS.
https://github.com/autonomy-and-verification-uol/ROSMonitoringMAAT: A Novel Ensemble Approach to Addressing Fairness and Performance Bugs for Machine Learning Software Inproceedings
In: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 1122–1134, Association for Computing Machinery, Singapore, Singapore, 2023, ISBN: 9781450394130.
A survey of practical formal methods for security Journal Article
In: Formal Aspects of Computing, 34 (1), pp. 1–39, 2022.
In: 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 323-328, 2022.
Verifiability Talk 56: “Highlights of Model Checking and Runtime Verification of Aerospace Systems”
Verifiability Talk 54: “Taking Back Control: Formally Modelling a Compiler Intermediate Representation for GPU Computing”
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