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ORI wins best student paper award at IROS

Congratulations to Markus Wulfmeier, Dominic Wang and Ingmar Posner on winning the best student paper award for their work on Deep IRL: Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments - an approach to learning cost maps for driving in complex urban environments.  The authors used an ambitious dataset collected over the course of a year [...]

Self-driving vehicles tested in public

Self-driving vehicles equipped with Oxford-developed autonomy software have been tested successfully in public for the first time in the UK.  The demonstration in Milton Keynes was coordinated by the Transport Systems Catapult (TSC) and marked the conclusion of the LUTZ Pathfinder project, which has been running for the past 18 months.

Our Q14 Rover goes to Space (nearly)

ORI is collaborating with thirteen other institutions under the auspices of The UK Space Agency and in partnership with the Canadian Space Agency in a major Mars Exploration Analogue mission taking place over several weeks in the Utah desert this autumn. The mission will be coordinated from Harwell and will comprise exploration and planetary science [...]

ORI is recruiting

We are looking for academics and researchers to join us - more details here.

Best Paper in the RSS 2016 Deep Learning Workshop

Congratulations to Peter Ondruska, Julie Dequaire, Dominic Zeng Wang, and Ingmar Posner for their Best Paper award in the RSS 2016 Workshop:  Are the Sceptics Right? Limits and Potentials of Deep Learning in Robotics. Their paper “End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks” presents a novel end-to-end framework for tracking and classifying a robot’s surroundings in complex, [...]