Skip to main content
Menu

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 @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…

RT @pduckw: Our new paper titled "Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes" got accepted…

We're hiring! Can you help us develop state-of-the-art decision-making algorithms for autonomous systems? If so, get in touch! We're open to everyone across the broad spectrum of AI and robotics, RL, control, formal methods, probabilistic modelling etc. https://t.co/witCvAv72s

GOALS is ready for the term! We're sending a warm welcome to our new faces🎉 https://t.co/65RJ5JRCYD

RT @charliestreet1: Check out our work on multi-robot planning in congested environments: Blog: https://t.co/2EU7HtUmGX Video Presentatio…

On Friday Charlie and Michal started testing our @clearpathrobots Jackal fleet with Charlie’s DPhil code for multi-robot navigation in congested environments. His work is described in more detail here: https://t.co/VantNdCbpg https://t.co/dI11kLU35o