Vacancy: Post Doc in Soft Manipulation

Grade 7: £32,817 - £40,322 p.a. We are seeking a full-time Postdoctoral Research Assistant to join the Soft Robotics Lab, part of the Oxford Robotics Institute at the Department of Engineering Science (Oxford). The post is funded by the Engineering and Physical Sciences Research Council (EPSRC) and is for a fixed duration of 12 [...]

Vacancy: Post Doc in Soft Manipulation2020-03-19T09:44:31+00:00

Vacancy: Electrical Engineer

Grade 7: £32,817 - £40,322 with a discretionary range to £44,055 p.a. We are looking for a dedicated Electrical Engineer to join the Oxford Robotics Institute (ORI) in the Department of Engineering Science (Central Oxford). We have a large fleet of mobile and fixed robots which support our research activities, and it needs full-time [...]

Vacancy: Electrical Engineer2020-03-18T15:34:10+00:00

Extra Plotting Course for Undergraduates

From Hilary Term onwards, Oxford Robotic Institute (ORI) is running an extra-curricular course for Engineering Science undergraduates to design and manufacture a 2D pen plotter. The "First Year Plotter Challenge" is an optional six-week activity that offers an opportunity to get hands-on experience of the entire engineering process: from CAD design, 3D printing, and electronic [...]

Extra Plotting Course for Undergraduates2020-02-26T09:11:59+00:00

7 years on

Exactly 7 years ago, MRG made the headlines as they demonstrated the first autonomous vehicle on UK roads, driving around Begbroke Science Park on a snowy winters day. Which makes today a great day to celebrate the achievements of this amazing robot.   Since then, the RobotCar has become the most notable data collection platform [...]

7 years on2020-02-14T16:39:35+00:00

Wolfgang Merkt

Wolfgang joined ORI in February 2020 and works with Dr Ioannis Havoutis.

Wolfgang Merkt2020-02-14T15:20:30+00:00

Learning from Demonstration with Minimal Human Effort

Learning from demonstration and reinforcement learning have been applied to many difficult problems in sequential decision making and control. In most settings, it is assumed that the demonstrations available are fixed. In this work, we consider learning from demonstration in the context of shared autonomy...

Learning from Demonstration with Minimal Human Effort2020-02-10T09:54:44+00:00