University of Birmingham > Talks@bham > Artificial Intelligence and Natural Computation seminars > Automatic Fault Detection for Autosub6000: Why I Spent Three Weeks on a Boat last Semester

Automatic Fault Detection for Autosub6000: Why I Spent Three Weeks on a Boat last Semester

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

If you have a question about this talk, please contact Per Kristian Lehre.

AFDA (Automated Fault Detection for Autosub6000) is a three yeaar NERC -funded project to provide fault detection technology for a deep-diving autonomous underwater vehicle operated by the National Oceanographic Centre. In this talk, I will describe the vehicle, the project, and what we’ve accomplished so far. In particular, I will describe and demonstrate Livingstone 2, the diagnosis approach we are applying, and talk about some of the novel problems in applying it to Autosub6000. Applying Livingstone 2 to Autosub6000 has required building a diagnosis model of the program the vehicle is executing, and I will talk about how we automatically generate this model. Finally, I will talk about my experience on-board the Royal Research Ship Discovery learning about Autosub and testing our technologies.

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

Talks@bham, University of Birmingham. Contact Us | Help and Documentation | Privacy and Publicity.
talks@bham is based on talks.cam from the University of Cambridge.