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Goal-Oriented Long-Lived Systems

The Goal-Oriented Long-Lived Systems (GOALS) Lab performs research around the problems of behaviour generation for autonomous systems. In particular we focus on long-term autonomy and task and mission planning for mobile robots which must operate for extended periods (days, weeks or months) in dynamic, uncertain environments. To create long-term autonomous behaviour we explore the application of artificial intelligence techniques to robots, particularly planning under uncertainty and machine learning, such that the longer robots act in an environment, the better they perform.

RT @mo_baioumy: We show the limitations of the active inference controller (AIC) used in the literature and introduce the 'unbiased' AIC. @

RT @mo_baioumy: As humans, we are generally aware of our limitations. If your leg is injured you can detect this, and you know you shouldn'…

Today engineers from @oxfordrobots are testing our @RAIN_hub Husky at @UKAEAofficial's RACE Test facility supported by @NNUF_UK. We're testing 3D radiation scanning plus general navigation and robustness ahead of deploying it in the hall around the JET reactor in a few weeks. https://t.co/Yh6gBQ5HTl

RT @dynamicrobots: Great to be back outdoors doing experiments with Coyote. ☀️🌳 (The mountains in Oxford are smaller than Switzerland @legg

RT @dynamicrobots: In December we tested autonomous exploration at a @UKAEAofficial radiation storage facility w/ RACE. A @RoboticsRoss Ex…

RT @OrielOxford: We are pleased to announce a new scholarship in Artificial Intelligence, available for DPhil applicants to @CompSciOxford

RT @hawesie: In the @GOALS_oxford lab we're quite excited about uncertain MDPs for representing the results of learning in a model that can…

RT @hawesie: Another lockdown group photo for the @GOALS_oxford team (or at least the 10 we could get into the game). I learned a bit more…