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Date/Time
Date(s) - 28 Feb 2019
7:30 pm - 9:00 pm

Location
Department of Computer Science, University of Oxford

Categories
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Prof Ingmar Posner, Oxbotica

Abstract:

Mobile autonomy, and autonomous driving in particular, has captured the public imagination. Many of us are excited about what a future of self-driving cars holds in store. However, mobile autonomy harbours tangible opportunity far beyond the confines of the road. In this talk, I will describe some of the work that Oxbotica carries out in both on-road and off-road autonomy, and how the notion of vehicles experiencing their environment shapes the technology we develop. I will argue that a systems view of mobile autonomy affords particular opportunities in AI and poses some very interesting challenges.

Bio:

Prof. Ingmar Posner leads the Applied Artificial Intelligence Lab (A2I) at Oxford University. He also serves as Deputy Director of the Oxford Robotics Institute, which he co-founded in 2016. Ingmar has a significant track record in designing machine learning approaches (shallow and deep) which address core challenges in AI and machine learning. Ingmar’s goal is to enable robots to robustly and effectively operate in complex, real-world environments. His research is guided by a vision to create machines which constantly improve through experience. In doing so Ingmar’s work explores 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, transfer learning and the learning of complex tasks via a set of less complex ones. All the while Ingmar’s intellectual curiosity remains grounded in real-world robotics applications such as autonomous driving, logistics, manipulation and space exploration. In 2014 Ingmar co-founded Oxbotica, a leading provider of mobile autonomy software solutions.

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