Verification of Autonomous Systems
The overarching aim of the Verification of Autonomous Systems group is to develop novel computational methods and tools for providing safety guarantees to a wide range of autonomous systems, including autonomous vehicles, robotic systems, and swarm systems.
We are particularly active in the following topics:
- Scalable methods and tools for the verification of neural networks, including CNNs, and RNNs.
- Parameterised model checking methods for the verification of swarm systems.
- AI-based specification languages and logic-based verification methods for reasoning about agent-based systems.
- Safe reinforcement learning for agent-based systems.
Our work is guided by a passion for Artificial Intelligence and the belief that AI should be safe and secure for society to use.
We have a history of development and maintenance of open-source state-of-the-art toolkits for Safe AI and international collaboration both with academia and the industry.
We presently benefit from strong links with the Assured Autonomy DARPA program and the Centre for Doctoral Training in Safe and Trusted AI.
News
19 October 2020Meet the new team member: Ben Batten
13 October 2020Alessio Lomuscio gives a talk at KR 2020
20 September 2020Meet the new team member: Dr Yang Zheng
29 July 2020VAS members have a paper accepted at KR 2020
21 July 2020VAS group participates in VNN-COMP
12 July 2020Results of the ARCH-COMP20 are out!