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Applied Artificial Intelligence Lab (A2I)

A2I group photo.

The Applied AI Lab (A2I) explores core challenges in AI and Machine Learning to enable robots to robustly and effectively operate in complex, real-world environments. Our research is guided by our vision to create machines which constantly improve through use in their dedicated workspace. In doing so we explore a number of intellectual challenges at the heart of robot learning such as machine introspection in perception and decision making, data efficient learning from demonstration, task-based and transfer learning and the learning of complex tasks via a curriculum of less complex ones. All the while our intellectual curiosity remains grounded in real-world robotics domains such as autonomous driving, logistics, manipulation or space exploration.

RT @IngmarPosner: Why is #robotics not simply an application of #MachineLearning? The conversation continues at https://t.co/yYGSoz2iDT...…

RT @IngmarPosner: Metacognition in AI? We'd love for you to join us at #NeurIPS2021 and tell us about your work. Closing soon... #ai #artif

RT @omgroth: Excited to announce that the official #TensorFlow code for GEECO has just been released! 🥳 If you're interested in a robust vi…

Interested in helping us push the boundaries of robot learning for real-world applications? Here's your chance! We are currently seeking to fill two PostDoc positions in embodied intelligence - details at https://t.co/dHGBnYepkf @oxfordrobots @oxengsci

RT @omgroth: Looking forward to presenting our latest work on goal-conditioned visuomotor control today at #ICRA2021! 😃 Joint work with @ch