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Centre for Robotics and AI

We’re one of the UK’s top robotics centres, with a world leading reputation for research combining robotics and AI.

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Bringing together experts

Our labs bring together experts from both our Schools of Engineering and Natural Sciences, with strong ties to health, social science and the arts.

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Real world applications

We house a network of capabilities that put us at the forefront in the design of robots and autonomous systems for real world applications such as nuclear, net zero, flexible manufacturing and healthcare.

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Designing new technologies

We can support in accelerating innovation, designing new technologies and the development of novel approaches, techniques and applications.

We collaborate with industry, with specific strengths in agritech, energy, manufacturing, healthcare, education, nuclear, space and other extreme environments.

Our expertise lies in five key areas:

Platform design, mechatronics and control

Verification, security and trust

Human-robot interaction and cognitive robotics

AI, machine learning and data

Research in ethics and human-centred robotics issues

Our impact


Step into our world of applied solutions by exploring our robotics research or discover the impact of specific projects below.

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Radioactive robot developed by Manchester researchers awarded Best Invention in 2022 by Time Magazine →

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HOME Offshore - Research into maintenance solutions using robotics and virtual reality →

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The University of Manchester launches new robotics research centre to support a net zero future →

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MIRRAX - UoM Robotics - Deployment at the FGRP at Sellafield in March 2018 →

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‘Talking to robots’ - designing emotionally intelligent bots →

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Mindreading for Robots →

Speak to our experts


Professor Barry Lennox

Professor Barry Lennox

Professor of Applied Control

  • Development and deployment of robotic systems in extreme environments, particularly nuclear
Professor Angelo Cangelosi

Professor Angelo Cangelosi

Professor of Machine Learning & Robotics

  • Designing cognitive and social robots for education, health and social care
Professor Clare Dixon

Professor Clare Dixon

Professor of Computer Science (Autonomy and verification)

  • Verification for safety, reliability, robustness and trustworthiness in robotic and autonomous systems

Interested in exploring the Centre for Robotics and AI further?

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