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 @hawesie: Come join both the @GOALS_oxford and @UKAEAofficial teams at the same time as a postdoc. https://t.co/6Yg5QqtGro
We address how to model the uncertainty over operators' behaviour for human-robot AI systems, by using multiple models to represent a single operator. Bayesian statistics are used to help us keep up with which model our operator best fits into - which can change during a run! 2\n
Finding it difficult to co-operate with a new teammate, human or robot? A new GOALS paper on human-robot AI systems considers a wide range of behaviour, so it's ready for anything. Work by Clarissa Costen, Bruno Lacerda, @MarcRigter and @hawesie: https://t.co/8CrQ1XvtTV 1\n
Yesterday GOALS had it's first DPhil thesis submission! Congrats to @charliestreet1 for the major milestone! https://t.co/b579gkZEKm
RT @TeamORIon22: T-minus 14 days until #RoboCup2022! 💫 To celebrate the end of term and give cheers to the upcoming competition in Thailan…
RT @SergeBelongie: Two minute project pitch by Dylan Asmar @SISLaboratory and Lara Brudermüller @GOALS_oxford #KTHRPLSummerSchool https://t…
RT @MarcRigter: Feel like the world is out to get you? Our reinforcement learning agents can relate. In our new work, RAMBO, we adversaria…
RT @r0b0tista: Doing some "field" #robotics at @WythamWoods as part of our project with @SalGoTeam on using robots and AI to monitor respo…