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Robots learning on the move: deep learning from lots of demonstration

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If you have a question about this talk, please contact Rowan McAllister.

Abstract: Deep learning methods have attained state-of-the-art performance in a range of tasks, including image classification, speech processing, and reinforcement learning. In this talk, I will describe some of our recent work utilising deep learning techniques in the context of mobile robotics, focusing on scene understanding, end-to-end tracking of dynamic objects, and learning path proposals and safe trajectories from demonstrated data.

Bio: Dushyant Rao is a postdoctoral researcher at the Oxford Robotics Institute (ORI), led by Profs. Ingmar Posner and Paul Newman. The institute has a world leading reputation in mobile autonomy – developing machines and robots which map, navigate through and understand their environments. Most recently, ORI ’s technology was showcased in Milton Keynes in the UK’s first ever public trials of self-driving cars.

This talk is part of the Machine Learning @ CUED series.

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