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.
Our state-of-the art tools are freely available for dowload.
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/mcapl
ROSMonitoring provides a Runtime Verification Framework for ROS.https://github.com/autonomy-and-verification-uol/ROSMonitoring
Trustworthy Autonomous Systems Through Verifiability Journal Article
In: Computer, 56 (2), pp. 40-47, 2023.
Testing Using CSP Models: Time, Inputs, and Outputs Journal Article
In: ACM Trans. Comput. Logic, 24 (2), 2023, ISSN: 1529-3785.
A Multi-Lingual Benchmark for Property-Based Testing of Quantum Programs Inproceedings
In: Proceedings of the 3rd International Workshop on Quantum Software Engineering, pp. 1–7, Association for Computing Machinery, Pittsburgh, Pennsylvania, 2023, ISBN: 9781450393355.
Verifiability Talk 54: “Taking Back Control: Formally Modelling a Compiler Intermediate Representation for GPU Computing”
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