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Manchester AI summit aims to attract experts in advanced engineering and robotics

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Dr Weightman, who researches home-based rehabilitation robotics for people with neurological impairment, and Dr Midson, who researches theological and philosophical critiques of posthumanism, will discuss how interdisciplinary research can help with the special challenges of rehabilitation robotics – and, ultimately, what it means to be human “in the face of the promises and challenges of human enhancement through robotic and autonomous machines”.

Delegates will also have a chance to observe a series of robots and autonomous machines being demoed at the conference.

Angelo Cangelosi, Professor of Machine Learning and Robotics at Manchester, said the University offers a world-leading position in the field of autonomous systems – a technology that will be an integral part of our future world. 

Professor Cangelosi, co-Director of the Manchester Centre for Robotics and AI, said: “We are delighted to host our inaugural conference which will provide a special showcase for our diverse academic expertise to design robotics for a variety of real world applications.

“Our research and innovation team are at the interface between robotics, autonomy and AI – and their knowledge is drawn from across the University’s disciplines, including biological and medical sciences – as well the humanities and even theology. 

“This rich diversity offers Manchester a distinctive approach to designing robots and autonomous systems for real world applications, especially when combined with our novel use of AI-based knowledge.”

The University of Manchester’s Centre for Robotics and AI will aim to: 

·       design control systems with a focus on bio-inspired solutions to mechatronics, eg the use of biomimetic sensors, actuators and robot platforms; 

·       develop new software engineering and AI methodologies for verification in autonomous systems, with the aim to design trustworthy autonomous systems; 

·       research human-robot interaction, with a pioneering focus on the use of brain-inspired approaches to robot control, learning and interaction; and 

·       research the ethics and human-centred robotics issues, for the understanding of the impact of the use of robots and autonomous systems with individuals and society.





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