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News 2018-04-13T12:07:08+00:00

Look just what walked in: ANYmal delivered to ORI

ORI’ers with Linus (left) and Christian (right) from ANYbotics at the end of training Recently we welcomed a new robot to the ORI mobile robot menagerie: ANYmal. Built by ANYbotics AG, ANYmal is a 35kg torque-controlled quadruped specifically designed to be rugged and to be used in the field for industrial inspections as well as the basic science of motion planning, control and navigation. Researchers and students from the Dynamic Robot Systems Group (DRS) learned about the full range of issues from sensor I/O, walking controllers to user interface. There were many details about safe operation of the hardware and maintenance of the robot’s 12 ANYdrive actuators. Christian demonstrating safe operation of ANYmal on our gantry Walking robotics have moved much closer to a commercial practicality recently. While huge attention was drawn to the DARPA Robotics Challenge [...]

July 10th, 2018|Comments Off on Look just what walked in: ANYmal delivered to ORI

ORI Put Robots to the test at Blenheim

The Oxford Robotics Institute (Department of Engineering Science, University of Oxford) is to put a team of robots to the test at Blenheim as part of a new joint initiative. Ranging from driverless cars to legged robots, the Oxfordshire UNESCO World Heritage Site will be used as a proving ground for a range of robotic platforms over the coming months. Initially a specially-adapted ORI Range Rover, developed in collaboration with Jaguar Land Rover, will drive around the tracks of High Park – home to the greatest collection of ancientoak trees in Europe. The Range Rover is equipped with vision and Lidar sensors which will allow ORI to gather data in an off-road forestry environment. This will be used to test algorithms for localisation and perception for autonomy in challenging environments. The data will also provide a valuable source of information [...]

June 15th, 2018|Comments Off on ORI Put Robots to the test at Blenheim

1st prize for ORI members Julie Dequaire and Neil Dhir

Congratulations to Neil and Julie (ORI) and their colleague Tom Rawlinson (medical doctor, Jenner Institute) who won Pembroke College’s Innovation Prize for their project on rehabilitation for post-neurological injury. Rehabilitation, and particularly physiotherapy, holds a central role in the recovery of function after a neurological injury such as a stroke.  Physiotherapy tends to start at the clinic and continue at home, but it can be difficult for patients to find the motivation to do this as progress is slow and difficult to assess. The team propose to use machine learning and signal processing to develop a system which would enable the patient to detect early signs of muscle innervation and give goals and feedback to optimise progress.  They are interested in investigating the use of surface electromyography signals as a proxy for neurological recovery. The Pembroke Graduate Innovation Prize in association with [...]

March 12th, 2018|Comments Off on 1st prize for ORI members Julie Dequaire and Neil Dhir

Artificial Intelligence @ Oxford – A One-Day Expo – 27th March 2018

Oxford is a world leading centre for AI research, and over the past few years, we’ve witnessed a sharp increase in interest our AI research from industry, commerce, and government alike. On 27 March 2018, the University of Oxford will showcase AI research across the whole collegiate university with a one-day expo. Held at Worcester College’s stunning new Sultan Nazrin Shah Conference Centre, the event will bring together Oxford’s AI and machine learning thought leaders, providing a unique opportunity to hear from them about their work and their vision for the future. The day will include lectures from the experts, panels, demos, poster sessions with students, and an opportunity to talk one-to-one with professors at the heart of the AI revolution. Our very own Professor Paul Newman is one of the confirmed speakers.   Topics to be covered include: AI [...]

March 1st, 2018|Comments Off on Artificial Intelligence @ Oxford – A One-Day Expo – 27th March 2018

Postdoctoral Research Assistants

We are recruiting Postdoctoral Research Assistants to work on robotics in a variety of environments. If you are as excited to build the future of autonomous systems as we are, please apply! Postdoctoral Research Assistant in Space Robotics Do you have an interest in overcoming the challenges of working with robots in space? We are seeking a full-time Postdoctoral Research Assistant to join Oxford Robotics Institute (ORI) at the Department of Engineering Science in Central Oxford. The post is funded by EPSRC and is fixed-term to 28 February 2020 in the first instance. The research will embrace topics including advanced autonomy, mobile robot navigation and localisation, perception, motion planning and control. This is an exciting time to join Oxford Robotics Institute and support our vision to develop the autonomy systems necessary to enable planetary exploration rovers to execute long distance [...]

February 15th, 2018|Comments Off on Postdoctoral Research Assistants

New Hubs for Robotics in Extreme Environments

The Oxford Robotics Institute (Department of Engineering, University of Oxford) will play a key role in two of the four new Robotics Hubs announced this week by EPSRC as part of their £44.5 million investment over the next three and a half years into Robotics and AI.   The ORI researchers led by Dr. Maurice Fallon, Dr. Ioannis Havoutis, Prof. Nick Hawes and Prof. Paul Newman will make key contributes to two hubs, RAIN and ORCA: The Robotics and AI for Nuclear Hub (RAIN) will focus on improved inspection and monitoring of nuclear facilities. This Hub brings together the expertise of the Universities of Manchester (lead), Oxford, Liverpool, Sheffield, Nottingham, Lancaster, Bristol and the UKAEA's RACE centre The Offshore Robotics for Certification of Assets Hub (ORCA) will develop technology for subsea, ground and aerial inspection and asset management in [...]

November 10th, 2017|Comments Off on New Hubs for Robotics in Extreme Environments