The market impact from Robotics and Autonomous Systems (RAS) innovations is estimated to be £1.6-£6.4 trillion per annum by 2025. Smart, connected machines, or robotics and autonomous systems (RAS), are acting as tools to support us, working alongside us, making independent decisions and even learning from experience. They act and sense in the real world, connected and collaborating through the internet of things, generating and enabled by large quantities of data, using artificial intelligence to reason, classify, control and interact. On the other hand, creating an economy that harnesses Artificial Intelligence (AI) and big data is one of the great opportunities of our age – with a potential contribution of £200 billion or 10% of UK GDP by 2030. At the Edinburgh Centre for Robotics, we have created a world leading scientific programme of data driven AI research and innovation that addresses the unique challenges arising from and towards deployment of Robotics and Autonomous Systems (RAS) technology for solving socially relevant problems across domains.

Our Purpose 

Our vision is to advance the UK’s industrial potential in the robotics revolution through a new generation of highly skilled and innovation-ready researchers alongside cutting-edge research that transitions to disruptive cross-sector applications. The wide ranging cross disciplinary challenges of the RAS domain places us in a unique position within the Bayes’ Centre, with potential collaborative links to all the other occupants as active test-beds for deployment.


Professor Sethu Vijayakumar Director of the Edinburgh Centre for Robotics 
Sethu’s research interests span robotics, statistical machine learning, motor control, planning and optimization in autonomous systems and computational neuroscience. His latest project involves a collaboration with NASA Johnson Space Centre on the Valkyrie humanoid robot being prepared for unmanned robotic pre-deployment missions to Mars. 

Dr. Michael Mistry, Reader in Robotics 
Michael is an expert in robot control systems, dynamics, locomotion, dexterous manipulation, and physical interaction. He leads several research projects in these areas including H2020 THING (as project coordinator), H2020 CogIMon, EPSRC NCNR, and EPSRC ORCA.

For more information on

2.44 Informatics Forum
School of Informatics,
The University of Edinburgh,
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