Developing next-generation Robotics and Autonomous Systems (RAS)
to meet critical nuclear challenges
RNE was a five-year collaborative research programme that brought together robotic and nuclear engineering experts to make the step changes in RAS capability that were needed to overcome the challenges facing the UK and international nuclear industries.
The programme was supported by partners spanning the nuclear supply chain and established the UK as a world leader in the development and deployment of RAS technology across the entire nuclear cycle: reactor operations, new build reactors, decommissioning and waste storage.
It was envisaged that the programme would also have a significant impact in areas of robotics other than nuclear: space, sub-sea, mining, bomb-disposal and healthcare, for instance. Cross-sector initiatives ensured that there was two-way traffic of knowledge and technology between all potential beneficiaries of the programme’s research.
The programme was funded by The Engineering and Physical Sciences Research Council, industrial partners and the Italian Institute of Technology.
The Engineering and Physical Sciences Research Council
Four top institutions supported by key project partners
The University of Manchester (Lead) has the most advanced nuclear research capability in the UK, much of it focused around the irradiation capabilities at the Dalton Cumbrian Facility and its decommissioning research unit in West Cumbria.
Bristol Robotics Laboratory is the largest operation of its type in the UK, with a 4,000m2facility and its own on-site SME specialist incubator. The Laboratory has world-class expertise in multi-robot collaboration and human/robot interaction.
The University of Birmingham is a leading UK institution for nuclear research and has one of the country’s foremost robotic groups. It bridges the gap between the nuclear expertise of Manchester and the robotic expertise of Bristol.
The National Nuclear Laboratory has vast experience across the whole nuclear fuel cycle and a history of deploying robots in hazardous nuclear environments. The Laboratory has a range of unique facilities for experimental robot deployment.
The programme’s key members have leading roles in various national and international bodies including IEEE RAS, IET, UKACC, Northern Robotics Network and the IEEE Technical Committee on Robotics and Automation for Nuclear Facilities (RANUF).
Italian Institute of Technology / Nuclear Decommissioning Authority / Network Rail / National Physical Laboratory / EDF Energy / Ricardo Group / KUKA Robotics / FIS360 / Nu Generation / Forth Engineering / Schlumberger
Nuclear decommissioning and the safe disposal of nuclear waste are massive global challenges. Carrying out this work just in the UK represents the largest environmental remediation project in the whole of Europe.
Such a massive task is made even more daunting by the extreme environments encountered in many legacy facilities. These may contain radiological, chemical, thermal and other hazards, restricting access by humans and necessitating the use of robots to complete many jobs.
Unfortunately, current robotic technology is not capable of doing a lot of what will be required. Even straightforward tasks such as turning valves on and off, navigating staircases and moving over rough terrain can be problematic.
The five-year research programme has been created to address these issues. The programme’s brief is both extremely clear and immensely challenging – to make major scientific and technological advances to nuclear robots in a very short timescale.
Research will be carried out across the home institutions and at the Dalton Cumbrian Facility, in west Cumbria, which has strong links with the nuclear industry.
The programme’s researchers will focus on:
Improving robot power systems / Improving processing capabilities / Improving sensing / Improving communication systems / Improving grasping / Improving manipulation / Improving computer vision / Improving perception
An important factor across all research activity will be the autonomous capability of many of the robots – they will be able to operate independently, without direct supervision by humans.
In addition to its own research, the programme will directly create a multi-institutional, multi-disciplinary robotic research hub in West Cumbria, the centre of much of the UK’s nuclear industry. This will be sustainable beyond the programme’s lifetime and will be uniquely able to deliver advanced robotic technologies that address the many vital, real-world nuclear challenges.
The decommissioning challenges facing the nuclear industry in the coming decades are immense. Much of the waste that needs cleaning up is very old and the quantities involved are vast. The UK Nuclear Decommissioning Authority estimates that in this country there are 290,000m3 of intermediate level waste alone.
The problems created by such a backlog are not only formidable, they are also pressing. Many of the UK’s nuclear facilities, including test reactors and fuel re-processing plants, are in urgent need of attention, with the Decommissioning Authority describing some of them as ‘intolerable risks’. Yet current decommissioning work is barely making an impression on the situation.
The lack of progress is down to one key factor: the decommissioning tasks are largely being performed by a manual workforce of people who, however skilled, cannot go into many areas because of either the danger to life or very narrow access ports. Moreover, they are mostly equipped with dated mechanical manipulators and receive only rudimentary robotic support.
Working in such conditions is stressful, physically demanding, awkward because of the need to wear protective clothing and a potential health risk. This is not the way to proceed.
Whilst robotics have transformed the manufacturing sector, they have not been taken up by the nuclear industry to anything like the same extent. There is a good reason for this: manufacturing robots operate in environments that contain few uncertainties and perform tasks that are highly repeatable. Legacy nuclear facilities, on the other hand, have often been closed off for many decades and are frequently poorly understood, with inventory records and design drawings either incomplete, erroneous or unavailable. Typically, these decommissioning environments are unstructured and extremely uncertain, requiring robots to perform tasks that will vary according to the conditions encountered. This makes them completely unsuitable places for modern industrial robotic solutions.
The only way to overcome these numerous decommissioning issues is through major technological advances leading to a new generation of robots with skills not yet available. This is the job that the research programme will undertake.
The UK plans to build new nuclear power stations and an advanced geological disposal facility. In addition, it is to invest significant resources in nuclear fusion technology. The robotic advances that are the research programme’s objective will not only benefit legacy decommissioning but will also ensure the successful operation of these new facilities and avoid the creation of complex decommissioning challenges for future generations.
Structure of the research programme’s project themes, partners and areas of collaborative research intersection
The research programme will be delivered through four interconnecting themes. Each team will focus on one theme. Themes 1 – 3 will concentrate on developing novel robot technologies while theme 4 will provide rigorous performance evaluation methodologies.
Key People
Professor Barry Lennox
Dr Simon Watson
Dr Keir Groves
Dr Farshad Arvin
Dr Wei Cheah
Key People
Professor Tony Pipe
Professor Alan Winfield
Professor Manuel Giuliani
Dr Paul Bremner
Jennifer David
Dr Tom Bridgewater
Dr Craig West
BRL previous work on telepresence using a robot:
Develop the advanced computer vision and multi-sensor algorithms needed for a wide range of functionality:
In addition, develop advanced manipulation methods that exploit robotic perception capabilities:
Key People
Professor Rustam Stolkin
Dr Vijaykumar Rajasekaran
Dr Mohammed Talha
Key People
Dr Steve Shackleford
D
In keeping with the philosophy of the EPSRC Programme Grant scheme, detailed research plans will be provided for years one to three but years four to five will be left somewhat open ended to give flexibility. By the time the last two years have been reached, various requirements will be better understood to aid planning – for instance, the extent of new build needs, long term storage needs and the need for fusion research.
Model Identification of a Small Omnidirectional Aquatic Surface Vehicle: A Practical Implementation
Groves K,Dimitrov M,Peel P, Marjanovic O and Lennox B. (2020)
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Watch the video presentation here.
Localisation of Unmanned Underwater Vehicles (UUVs) in Complex and Confined Environments: A Review
Watson S, Duecker DA, and Groves K. (2020)
A Review.Sensors
Preliminary Evaluation of an Orbital Camera for Teleoperation of Remote Manipulators
Talha M, and Stolkin R, (2019)
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Groves K, Lennox B, West A, Gornicki K, Watson S, Carrasco J, (2019)
Robotics, 8(2), 47
On Proactive, Transparent and Verifiable Ethical Reasoning for Robots
Bremner P, Dennis, LA, Fisher M & Winfield, AF, (2019).
Proceedings of the IEEE, 107(3), 541-561
Limitations of wireless power transfer technologies for mobile robots
Cheah, W, Watson, S and Lennox, B, (2019)
Wireless Power Transfer, accepted subject to minor corrections
Embodiment of an Aquatic Surface Vehicle in an Omnidirectional Ground Robot
Lennox, C, Groves, K, Hondru, V, Arvin, F, Gornicki, K, Lennox, B, (2019)
IEEE International Conference on Mechatronics
A Debris Clearance Robot for Extreme Environments
West, C, Arvin, F, Cheah, W, West, A, Watson, S, Giuliani, M, Lennox, B, (2019a)
TAROS, UK
Development of a Debris Clearance Vehicle for Limited Access Environments
West, C, Cheah, W, Rajasekaran, V, West, A, Arvin, F, Watson, S, Giuliani, M, Stolkin, R and Lennox, B, (2019b)
UK RAS
Singularity-Robust Inverse Kinematics Solver for Tele-manipulation
Ortenzi, V, Marturi, N, Kumar, V, Adjigble, M, Stolkin, R, (2019)
IEEE Robotics and Automation Letters, accepted
Model-free and learning-free grasping by Local Contact Moment matching
Adjigble M, Marturi N, Rajasekaran V, Ortenzi V, Corke P, Stolkin R, (2018)
IROS
Choosing Grasps to Enable Collision-Free Post-Grasp Manipulations
Pardi T, Ghalamzan A, Stolkin R, (2018)
IEEE-RAS Humanoids
Feature and Performance Comparison of the V-REP, Gazebo and ARGoS Robot Simulators
Pitonakova L, Giuliani M, Pipe A, Winfield A. (2018)
TAROS, Bristol
Reactive Virtual Forces for Heterogeneous and Homogeneous Swarm Exploration and Mapping
Bridgwater T, Winfield AF, Pipe T (2017)
In Gao Y., Fallah S., Jin Y., Lekakou C. (Ed.), Towards Autonomous Robotic Systems. TAROS 2017. Lecture Notes in Computer Science, Vol 10454. Cham:Springer.
Videos and webinars are available on the RNE YouTube Channel
Dept. of Electrical and Electronic Engineering
The University of Manchester
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