Section one: Contracting authority
one.1) Name and addresses
United Kingdom Atomic Energy Authority
Culham Science Centre
Abingdon
OX14 3DB
Contact
Jane Lubbock
Telephone
+44 1235464626
Country
United Kingdom
NUTS code
UKJ14 - Oxfordshire
National registration number
N/A
Internet address(es)
Main address
http://www.gov.uk/government/organisations/uk-atomic-energy-authority
Buyer's address
https://uk.eu-supply.com/ctm/Company/CompanyInformation/Index/72814
one.3) Communication
The procurement documents are available for unrestricted and full direct access, free of charge, at
https://uk.eu-supply.com/app/rfq/rwlentrance_s.asp?PID=68908&B=UKAEA
Additional information can be obtained from the above-mentioned address
one.4) Type of the contracting authority
Body governed by public law
one.5) Main activity
Other activity
Fusion Research
Section two: Object
two.1) Scope of the procurement
two.1.1) Title
RAICo Supplier Engagement Event, 5 July 23 @ NCC, Birmingham
Reference number
T/JSL068/23
two.1.2) Main CPV code
- 98113100 - Nuclear safety services
two.1.3) Type of contract
Services
two.1.4) Short description
This PIN is provided to the market to invite organisations to an event at the NCC, Birmingham 5 July 23 to meet with RAICo personnel to hear about this important programme and possible future contract opportunities.
The Robotics and Artificial Intelligence Collaboration (RAICo®) is a collaboration programme being set up by Sellafield Ltd (SL), Nuclear Decommissioning Authority (NDA), University of Manchester and the UK Atomic Energy Authority (UKAEA).
It is initially a 3-year programme of technology development. It is focussed on delivering and proving underlying robotics and artificial intelligence technologies that are required for effective decommissioning, as well as providing deployment opportunities to have maximum operational impact.
The programme is managed by UKAEA’s Remote Applications in Challenging Environments (“RACE”) facility.
two.1.6) Information about lots
This contract is divided into lots: No
two.2) Description
two.2.2) Additional CPV code(s)
- 35113210 - Nuclear safety equipment
- 42000000 - Industrial machinery
- 42664000 - Fusion equipment
- 42997300 - Industrial robots
- 72222300 - Information technology services
- 73110000 - Research services
two.2.3) Place of performance
NUTS codes
- UKJ14 - Oxfordshire
Main site or place of performance
Culham, Oxfordshire
two.2.4) Description of the procurement
The Robotics and Artificial Intelligence Collaboration (RAICo®) is a collaboration programme being set up by Sellafield Ltd (SL), Nuclear Decommissioning Authority (NDA), University of Manchester and the UK Atomic Energy Authority (UKAEA). It is initially a 3-year programme of technology development. It is focussed on delivering and proving underlying robotics and artificial intelligence technologies that are required for effective decommissioning, as well as providing deployment opportunities to have maximum operational impact.
Using robotics and AI in hazardous nuclear decommissioning environments will provide the step-change in capabilities needed to move towards a cheaper, faster, and less hazardous set of next generation decommissioning activities.
The programme is managed by UKAEA’s Remote Applications in Challenging Environments (“RACE”) facility.
This prior information notice (PIN) covers 4 of the thematic areas of the RAICo Programme and is seeking interest from both Industry and Academia who will provide the products and services to support the delivery of the RAICo’s Programme’s strategic objectives which are:
Operationalisation of “this Generation” robotics into the nuclear sector.
Developing remotely operated solutions for decommissioning and future fusion power,
Developing intelligent customer and supply chain capability / capacity,
Positive socio-economic impact in Cumbria
The 4 thematic areas in scope for this PIN are detailed in the attached document which includes an online application to express an interest in attending the event to meet RAICo personnel and, to receive all further details of future contract opportunities.
two.3) Estimated date of publication of contract notice
26 May 2023
Section four. Procedure
four.1) Description
four.1.8) Information about the Government Procurement Agreement (GPA)
The procurement is covered by the Government Procurement Agreement: Yes