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Applied Artificial Intelligence Lab (A2I)

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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 @AnsonISL: Super excited to share our new work - a personal first - Variational Causal Dynamics (VCD). We trained a latent state space m…

RT @IngmarPosner: Admittedly, I've been a doubter when it comes to all things causal. That's why we set ourselves the challenge of learning…

RT @IngmarPosner: Our latest offering in efficient and accurate #radar odometry competitive for embedded devices. Nicely done @robwrobots a…

RT @IngmarPosner: Starting 2022 with something astounding: based on limited training data, a generative model learns to continuously blend…

RT @IngmarPosner: Next stop: #NeurIPS2021 workshops. Looking forward to discussing Metacognition in AI on Monday with our first panel Megan…

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