ASUNDER - Adaptable Semiautonomous Underwater Decommissioning Sample Retrieval Robot
Lead Research Organisation:
Lancaster University
Department Name: Engineering
Abstract
There are many legacy sites within the nuclear industry that contain facilities that are submerged, such as the primary contain vessels in Unit 1 of the Fukushima Daiichi Nuclear Power Plant in Japan, and the storage ponds at Sellafield in the UK. These submerged sites often contain, or have contained, highly radioactive materials and as such are highly hazardous. As part of the decommissioning strategy of these facilities, it is necessary to confirm the properties of the materials within these submerged areas, so that they can be removed as safely as possible. Whether it be for validation, or other reasons, at some point it is necessary to remove a small sample of the material for lab-based testing, which may involve determining the mechanical, chemical or radiological properties of the sample. Due to the hazardous nature of the environment, such sample collection cannot be conducted manually. However, robotic systems capable of this task are not available, as most cutting tools for underwater decommissioning were developed for the large-scale removal of structures and hence, are not suitable for the task. Also, these tools often need to be secured to the structure being cut to accommodate the forces generated. This methodology cannot be employed in this scenario.
This project proposes a new solution, whereby an unmanned underwater vehicle (UUV) based robotic manipulator will be used to position and orientate underwater cutting tools to remove samples semiautonomously. Such a system will be able to access almost any submerged environment and retrieve samples where no other system could. This system would mean that the cutting tool will not need to be secured, reducing the need for manual intervention, making the process much safer. Navigation in the turbid conditions caused by particle suspension will be achieved using sonar data presented to the operator using virtual reality. The sonar data will also support imaging systems on the manipulator used to inform and monitor the cutting process locally. The radiological environment will also be assessed concurrently to inform decision making, such as the identification of the corium position or its nature. To achieve this, a novel compact neutron sensor capable of estimating the dose rate and neutron energy spectrum underwater will be developed and integrated.
Additional sensing and feedback systems will be used to monitor the position and orientation of the manipulator joints and end effectors. This will include information about the hydrodynamic loading on the manipulator. An adaptable semiautonomous control algorithm will be developed and implemented based on the inverse dynamics of the manipulator that will compensate for the hydrodynamic forces and the movement of the UUV to ensure the cutting operation continues efficiently. The end effector will incorporate a sample retrieval tool, as well as a cutting tool. This allows the tools to work collaboratively, whilst minimising weight and complexity. It is intended that the control strategy will be adaptable and will allow other tools to be incorporated as required as decommissioning strategies evolve. This system will comprise a complete end-to-end solution, validated in realistic conditions in both Japan and the UK.
This project proposes a new solution, whereby an unmanned underwater vehicle (UUV) based robotic manipulator will be used to position and orientate underwater cutting tools to remove samples semiautonomously. Such a system will be able to access almost any submerged environment and retrieve samples where no other system could. This system would mean that the cutting tool will not need to be secured, reducing the need for manual intervention, making the process much safer. Navigation in the turbid conditions caused by particle suspension will be achieved using sonar data presented to the operator using virtual reality. The sonar data will also support imaging systems on the manipulator used to inform and monitor the cutting process locally. The radiological environment will also be assessed concurrently to inform decision making, such as the identification of the corium position or its nature. To achieve this, a novel compact neutron sensor capable of estimating the dose rate and neutron energy spectrum underwater will be developed and integrated.
Additional sensing and feedback systems will be used to monitor the position and orientation of the manipulator joints and end effectors. This will include information about the hydrodynamic loading on the manipulator. An adaptable semiautonomous control algorithm will be developed and implemented based on the inverse dynamics of the manipulator that will compensate for the hydrodynamic forces and the movement of the UUV to ensure the cutting operation continues efficiently. The end effector will incorporate a sample retrieval tool, as well as a cutting tool. This allows the tools to work collaboratively, whilst minimising weight and complexity. It is intended that the control strategy will be adaptable and will allow other tools to be incorporated as required as decommissioning strategies evolve. This system will comprise a complete end-to-end solution, validated in realistic conditions in both Japan and the UK.
Organisations
Publications
Alizadeh M
(2023)
Development of a Customer Churn Model for Banking Industry Based on Hard and Soft Data Fusion
in IEEE Access
Elhaki O
(2021)
Saturated Output-Feedback Hybrid Reinforcement Learning Controller for Submersible Vehicles Guaranteeing Output Constraints
in IEEE Access
Ma N
(2022)
Modelling and Analysis of the Spital Branched Flexure-Hinge Adjustable-Stiffness Continuum Robot
in Robotics
Ma N
(2022)
Collaborative Continuum Robots for Remote Engineering Operations.
in Biomimetics (Basel, Switzerland)
Rahdarian A
(2022)
Regulation With Guaranteed Convergence Rate for Continuous-Time Systems With Completely Unknown Dynamics in the Presence of Disturbance
in IEEE Access
Sadeghzadeh-Nokhodberiz N
(2023)
Vision-based particle filtering for quad-copter attitude estimation using multirate delayed measurements.
in Frontiers in robotics and AI
Zhaoyang Jacopo H
(2021)
Bio-Inspired Soft Robot for Locomotion and Navigation in Restricted Spaces
in Journal of Robotics and Automation
Description | A dual-arm cable-driven continuum robot capable of being integrated with an underwater ROV has been designed, built and tested. Each continuum arm has 6 DoF and are designed with end effectors that work together with the intent to collect material samples from underwater environments. Novel features of manipulators include: compliant hinge mechanisms incorporated to enhance performance of conventional backbone-structure of high length-diameter ratio manipulators; new kinematic and stiffness model of the manipulators, incorporating the mechanics of the modular cable-driven 2-DoF parallel mechanism and hinges; and collaborative control of both manipulators for complex engineering task achieved. Complex environment meant that traditional methods in an underwater positioning system utilized in the maritime mineral search result in high uncertainties. Use of MEMS-based inertial navigation system performed better. Rad-hard micro-structured neutron detector-based ASIC with radiation tolerance up to at least 5 MGy of gamma rays was developed capable of discriminating between neutrons and gammas. Bubble detectors were tested for responses to neutron flux and neutron fluences. |
Exploitation Route | Follow on funding for Phase 10 project developing the systems created here further. Also potential EPSRC project based on underwater engineering to follow. |
Sectors | Aerospace, Defence and Marine |
Description | Collaborative Dual-Arm Continuum Robot for Operating in Underwater Environments, 5th UK Robotics and Autonomous Systems Conference (UKRAS22) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Conference presentation delivered by Ma, N., Monk, S. and Cheneler, D., (2022), Collaborative Dual-Arm Continuum Robot for Operating in Underwater Environments, 5th UK Robotics and Autonomous Systems Conference (UKRAS22), Aberystwyth, UK, 26th - 28th August 2022 |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.ukras.org.uk/news-and-events/uk-ras/ukras22-the-5th-uk-robotics-and-autonomous-systems-c... |
Description | Continuum robots for solving engineering challenges, 20 Minutes of Engineering |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Postgraduate students |
Results and Impact | Talk "Continuum robots for solving engineering challenges" presented by Dr Nan Ma as part of School's 20 Minutes of Engineering seminar series to researchers and students. |
Year(s) Of Engagement Activity | 2022 |
Description | Design, prototyping and test of a dual-arm continuum robot for underwater environments, 7th International Conference on Robotics and Automation Engineering (ICRAE 2022) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Conference presentation by Ma, N., Monk, S. and Cheneler, D., (2022), Design, prototyping and test of a dual-arm continuum robot for underwater environments, 7th International Conference on Robotics and Automation Engineering (ICRAE 2022), Singapore, 18th-22nd November 2022 |
Year(s) Of Engagement Activity | 2022 |
URL | http://www.icrae.org/ |