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 2020

Meet the new team member: Ben Batten

13 October 2020

Alessio Lomuscio gives a talk at KR 2020

20 September 2020

Meet the new team member: Dr Yang Zheng

29 July 2020

VAS members have a paper accepted at KR 2020

21 July 2020

VAS group participates in VNN-COMP

12 July 2020

Results of the ARCH-COMP20 are out!

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Next Scheduled Seminar

There are currently no seminars planned.

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