University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Building Certifiably Safe and Correct Large-scale Autonomous Systems

Building Certifiably Safe and Correct Large-scale Autonomous Systems

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact nobody.

VSO2 - Verified software

The introduction of machine learning (ML) and artificial intelligence (AI) creates unprecedented opportunities for achieving full autonomy. However, learning-based methods in building autonomous systems can be extremely brittle in practice and are not designed to be verifiable. In this talk, I will present several of our recent efforts that combine ML with formal methods and control theory to enable the design of provably dependable and safe autonomous systems. I will introduce our techniques to generate safety certificates and certified decision and control for complex autonomous systems, even when the systems have a large number of agents and follow nonlinear or unknown dynamics.

This talk is part of the Isaac Newton Institute Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity