• Robotics and AI in nuclear

    DEVELOPING more dynamic, more capable robotic systems for ultra-harsh nuclear zones AND OTHER EXTREME ENVIRONMENTS

  • Robotics and AI in nuclear

    A COLLABORATIVE RESEARCH PROGRAMME TO ADDRESS VITAL GLOBAL CHALLENGES

  • Robotics and AI in nuclear

    APPLICATIONS ACROSS ALL NUCLEAR ACTIVITY FROM DECOMMISSIONING TO NEW BUILD, WASTE MANAGEMENT TO FUSION

  • Robotics and AI in nuclear

    TARGETING REMOTE INSPECTION AND ZERO HUMAN ENTRY INTO RADIOACTIVE AREAS

Extreme environments

The nuclear industry has some of the most extreme environments in the world, with radiation levels and extremely harsh conditions restraining human access to many facilities.

Yet to date, robotic systems had had very little impact on the industry, even though it is clear that they offer major opportunities for improving productivity and significantly reducing risks to human health.

ROBOTS THAT CAN DO MORE

A multi-disciplinary task force brought together to develop robotic systems that can undertake critical, complex jobs in some of the world’s harshest environments.

Remote inspection of vessels and infrastructure/Reporting/Facility characterisation/ Material identification/Mapping/Negotiation of difficult, uneven terrain including steps and stairs/Movement, manipulation, sorting and segregation of waste/and more!

The RAIN initiative

The RAIN initiative has been created to address these issues by developing the advanced robotics and artificial intelligence that will be essential for future nuclear operations. Their adoption will have the potential to completely transform the nuclear industry globally. At the same time it is envisaged that the reliable, functional robotics systems that are the programme’s goal will also have important applications in other extreme environments such as space exploration, in-orbit satellite design, offshore operations and mining.

Funding

RAIN is funded by EPSRC and brings together eight teams of robotic and nuclear engineering experts from The University of Manchester (project lead), Lancaster University, The University of Oxford, The University of Liverpool, The University of Sheffield, The University of Bristol, The University of Nottingham and RACE (Robotics and Remote Applications in Challenging Environments).

The Rain programme will be the foundation for a world-leading robotic and AI research and innovation ecosystem.

The programme’s overall objectives will be to reduce and ultimately eliminate human entry into radioactive areas and other hazardous zones improve safety, reduce risk, lower costs, reduce timescales and make remote inspection a reality.