This is currently one of the most exciting and dynamic periods for UK nuclear science & engineering since the 1950s. Inter alia, both new reactor build (essential to meet climate change targets) and the decommissioning of the UK's legacy nuclear sites (a 120 year, £121 bn programme) are driving forward, BEIS are investing heavily in the new national nuclear innovation programme and the sector deal for the industry has just been published. The already acute need for skilled nuclear scientists and engineers is therefore increasing and will continue to do so into the long term. To address these needs we propose a CDT in Nuclear Energy (GREEN), a partnership between 5 of the UK's leading nuclear universities and 12 industry partners, addressing EPSRC priority area 19: Nuclear Fission & Fusion for Energy. Evolving from the very successful Next Generation Nuclear (NGN) CDT, GREEN will deliver comprehensive doctoral training across the whole fission fuel cycle as well as in allied areas of fusion. Inspired by changes in external drivers and feedback from alumni, employers and funders, GREEN will offer both academically- and industrially- based research pathways, linked to enhanced employability training. We will further widen our already strong industry engagement by inclusion of new external partners, and align closely with other national and international activities, including other proposed CDTs. Experience from NGN suggests we will be able to leverage EPSRC support to give a typical cohort size of 15-20 students. Remarkably, using the leverage of 40 studentships from EPSRC, GREEN has already secured a further 47 studentships from Industry and Academia, ensuring a minimum number of 87 students in the GREEN CDT.

The vision for this Programme is to deliver the step changes in Robotics and Autonomous Systems (RAS) capability that are necessary to overcome crucial challenges facing the nuclear industry in the coming decades. The RAS challenges faced in the nuclear industry are extremely demanding and complex. Many nuclear installations, particularly the legacy facilities, present highly unstructured and uncertain environments. Additionally, these "high consequence" environments may contain radiological, chemical, thermal and other hazards. To minimise risks of contamination and radiological shine paths, many nuclear facilities have very small access ports (150 mm - 250 mm diameter), which prevent large robotic systems being deployed. Smaller robots have inherent limitations with power, sensing, communications and processing power, which remain unsolved. Thick concrete walls mean that communication bandwidths may be severely limited, necessitating increased levels of autonomy. Grasping and manipulation challenges, and the associated computer vision and perception challenges are profound; a huge variety of legacy waste materials must be sorted, segregated, and often also disrupted (cut or sheared). Some materials, such as plastic sheeting, contaminated suits/gloves/respirators, ropes, chains can be deformed and often present as chaotic self-occluding piles. Even known rigid objects (e.g. fuel rod casings) may present as partially visible or fragmented. Trivial tasks are complicated by the fact that the material properties of the waste, the dose rates and the layout of the facility within which the waste is stored may all be uncertain. It is therefore vital that any robotic solution be capable of robustly responding to uncertainties. The problems are compounded further by contamination risks, which typically mean that once deployed, human interaction with the robot will be limited at best, autonomy and fault tolerance are therefore important. The need for RAS in the nuclear industry is spread across the entire fuel cycle: reactor operations; new build reactors; decommissioning and waste storage and this Programme will address generic problems across all these areas. It is anticipated that the research will have a significant impact on many other areas of robotics: space, sub-sea, mining, bomb-disposal and health care, for example and cross sector initiatives will be pursued to ensure that there is a two-way transfer of knowledge and technology between these sectors, which have many challenges in common with the nuclear industry. The work will build on the robotics and nuclear engineering expertise available within the three academic organisations, who are each involved in cutting-edge, internationally leading research in relevant areas. This expertise will be complemented by the industrial and technology transfer experience and expertise of the National Nuclear Laboratory who have a proven track record of successfully delivering innovation in to the nuclear industry. The partners in the Programme will work jointly to develop new RAS related technologies (hardware and software), with delivery of nuclear focused demonstrators that will illustrate the successful outcomes of the Programme. Thus we will provide the nuclear supply chain and end-users with the confidence to apply RAS in the nuclear sector. To develop RAS technology that is suitable for the nuclear industry, it is essential that the partners work closely with the nuclear supply chain. To achieve this, the Programme will be based in west Cumbria, the centre of much of the UK's nuclear industry. Working with researchers at the home campuses of the academic institutions, the Programme will create a clear pipeline that propels early stage research from TRL 1 through to industrially relevant technology at TRL 3/4. Utilising the established mechanisms already available in west Cumbria, this technology can then be taken through to TRL 9 and commercial deployment.