TORONE - TOtal characterisation for Remote Observation in Nuclear Environments

Lead Research Organisation: University of Manchester
Department Name: Chem Eng and Analytical Science

Abstract

The future use of nuclear energy in the UK and internationally is very much dependent on the ability to characterise the various highly radioactive environments that occur in the nuclear industry for both efficient decontamination and decommissioning as well as in the design of new nuclear fission reactors as well as fusion reactors.

Currently, site and material characterisation is costly and time consuming because remote methods for the environmental, chemical and geoscientific characterisation of man-made and natural materials, specifically designed for the nuclear arena, are limited. The inaccessible, complex and confined nature of these often high-radioactivity environments can preclude traditional field-based data collection techniques, which are often focused on sample collection and off-site analysis. With costs entering the tens or even hundreds of thousands of pounds for sample analysis in a particular plant, and the possibility that access is so restricted that obtaining samples may actually be impossible, remote in-situ analysis prior to segregation may offer a cheaper, safer, quicker and thus far more attractive solution. On their own, current in-situ techniques (e.g. gamma spectroscopy, 3D laser scanning, elemental composition through laser induced breakdown spectroscopy), each answer a particular characterisation question, but on their own only provide a component of the full characterisation picture that is required for instance for waste segregation.

This project aims to combine such technologies into an integrated system, with each technology contributing in real-time to form a seamless jigsaw - a 'total characterisation' picture - setting characterised materials into the spatial context of the environment they are located in. Advanced robotics and control technologies will be used in a similar way to NASA's Curiosity Rover to form the flexible platform necessary for the trials in a range of nuclear environments from Sellafield in the UK to Fukushima in Japan.

Planned Impact

The environmental and societal impacts of nuclear energy generation cannot be overstated and have received national and global exposure for many years especially for waste disposal. Nuclear decommissioning and clean-up has been estimated to cost the UK tax payer between £90bn and £200bn over the next 100 years, produce a vast inventory of environmentally detrimental waste to dispose of, and potentially be of high risk to human health and safety. In addition, investment in new nuclear build before 2030 is estimated to be £60bn and the cost of building and operating a geological disposal facility is circa £12bn. The corresponding numbers internationally are enormous, with the global cost of nuclear decommissioning estimated to be £1tn. Translating the 'total characterisation' aims of this project into industry would however dramatically improve our understanding of nuclear environments, leading to accelerated decommissioning, decreased risk to human health and safety, reduction in the detrimental environmental effect through enabling waste segregation, and considerably reduce costs to the UK taxpayer. This represents enormous benefits to society in the UK and internationally. The project will also have an impact on the research and development in academia and end -user industry of new nuclear fission approaches as well as a greater understanding of the fusion reactor environment leading to accelerated introduction of safer more efficient low-carbon energy supplies for the benefit of society.

There is huge potential to translate outputs to other industrial applications. For example the proposed integrated technology would be equally at home characterising infrastructure in the oil and gas sector, whilst undertaking remote forensic investigation in the CBRN (chemical, biological, radiological and nuclear) event sector. In addition to industrial translation, in bringing together robotics, detectors and photonics characterisation, the project would fly the flag of British science and engineering in three areas that are not commonly grouped together, providing a new focus on such integrated technology.
 
Description We have developed spatial gamma and neutron detectors for operation on an autonomous robot for nuclear decommissioning applications. In parallel, robot mounted laser analysers are being developed for determining the elemental and molecular characterisation of surfaces in areas requiring decommissioning. This has been demonstrated on a robot arm in a mock-up hot cell for proof of concept. We have now demonstrated in the lab proof of concept of the LIBS and Raman remote analysers on the autonomous robot system with a similar concept to NASA's Mars Perseverance robot. The robots have been developed for operation in nuclear environments with algorithms for recognising and steering clear of hot spots. An additional development has been the development of spatial databases for the characterisation results so that can be used in a robust way for safe and reliable decommissioning.
Exploitation Route We are working with end-users at Sellafield and Culham in addition to further nuclear engineering companies such as Nuvia to enable safer, more reliable decommissioning and characterisation in extreme environments. We have carried out a demonstration of the robot with optical characterisation techniques in Cumbria for potential end-users at Sellafield. There are also potential application areas in nuclear forensics and we are working with AWE to develop this. In parallel we are discussing with Porton Down about potential application of the developed technology in the security areas.
Sectors Energy,Environment,Manufacturing, including Industrial Biotechology,Security and Diplomacy

URL https://www.torone-project.com
 
Description Our research has led to interactions with Sellafield Ltd for deployment of the remote characterisation robots. We have just been awarded a 'Game Changer' Feasibility grant from Sellafield to use remote characterisation robots to inspect intermediate storage units at Sellafield.
First Year Of Impact 2018
Sector Energy,Environment
Impact Types Societal,Economic

 
Description Radiation Hardened robotics for remote INspectiOn - RHINO
Amount £504,102 (GBP)
Funding ID EP/X022331/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 11/2022 
End 03/2025
 
Title 2D map, 3D pointcloud data, and radiation observations from Lancaster University neutron Lab 
Description Data collected by Andrew West and Ioannis Tsitsimpelis. SLAM generated 2D map, 3D pointcloud reconstruction and point gamma radiation observations collected by a Clearpath Jackal Unmanned Ground Vehicle survey of the Lancaster University Neutron Laboratory. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
Impact This dataset was used in collaboration with Oxford Robotics Institute to develop autonomous robotic inspection of nuclear environments, using the Lancaster Neutron Laboratory and the dataset as a basis for algorithm development benchmarking. 
 
Title 2D map, 3D pointcloud data, spherical images, and radiation observations from Jozef Stefan Institute TRIGA Mark II nuclear reactor 
Description Data collected by Andrew West and Ioannis Tsitsimpelis, January 2020. SLAM generated 2D map, 3D pointcloud reconstruction, spherical images and point gamma radiation observations collected by a Clearpath Jackal Unmanned Ground Vehicle survey of the Jozef Stefan Insitute TRIGA Mark II nuclear reactor, Slovenia. This includes raw 3D gamma imager data. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? No  
Impact The 2D radiation data, and 3D gamma imager data have formed the basis for two publications, one published and one submitted. 
 
Title Avoidance of Single Gamma Source in Simulation 
Description Simulation results from a Jackal UGV commanded to navigate over a point gamma radiation source. The UGV and gamma source were in an open simulated environment, therefore able to take any diversion the path planner generated.The robot has three possible states of knowledge of the radiation field: no information, known knowledge, or unknown knowledge. These three states are labelled as "no_avoidance", "known" and "unknown" respectively.In the no avoidance scenario, the robot is not made aware of any radiation information. In the known environment, the robot is driven manually around the environment to build up a map of the radiation field, before being asked to perform navigation tasks. In the unknown case, the robot has no prior knowledge, but can react to new radiation information as it completes a navigation task.By adjusting the upper thresholds of cost associated with radiation risk, the robot is more or less cautious (there is lower or higher cost associated with navigating through regions of increased radiation dose rate).When the robot is aware of the radiation field, its accummulated dose is reduced, at the expense of greater time required to complete the task. Reduction in dose is readily an order of magnitude compared to the no_avoidance case.Data is in comma separated format, with header. Header format is: time (s), x (m), y(m), z (m), value (arb units). Value represents radiation intensity. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://figshare.manchester.ac.uk/articles/dataset/Avoidance_of_Single_Gamma_Source_in_Simulation/18...
 
Title Avoidance of Single Gamma Source in Simulation 
Description Simulation results from a Jackal UGV commanded to navigate over a point gamma radiation source. The UGV and gamma source were in an open simulated environment, therefore able to take any diversion the path planner generated.The robot has three possible states of knowledge of the radiation field: no information, known knowledge, or unknown knowledge. These three states are labelled as "no_avoidance", "known" and "unknown" respectively.In the no avoidance scenario, the robot is not made aware of any radiation information. In the known environment, the robot is driven manually around the environment to build up a map of the radiation field, before being asked to perform navigation tasks. In the unknown case, the robot has no prior knowledge, but can react to new radiation information as it completes a navigation task.By adjusting the upper thresholds of cost associated with radiation risk, the robot is more or less cautious (there is lower or higher cost associated with navigating through regions of increased radiation dose rate).When the robot is aware of the radiation field, its accummulated dose is reduced, at the expense of greater time required to complete the task. Reduction in dose is readily an order of magnitude compared to the no_avoidance case.Data is in comma separated format, with header. Header format is: time (s), x (m), y(m), z (m), value (arb units). Value represents radiation intensity. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact This research dataset was used as part of publication DOI: 10.3389/frobt.2022.862067, demonstrating how robots can autonomously avoid ionising radiation and increase their operational lifetime. 
URL https://figshare.manchester.ac.uk/articles/dataset/Avoidance_of_Single_Gamma_Source_in_Simulation/18...
 
Title JSI Gamma Radiation Dataset and SLAM Map 
Description Three files consisting of a txt file dataset of gamma radiation count observations, with SLAM estimated position, and a 2D SLAM map of the Jožef Stefan Institute (JSI) TRIGA Mark II reactor hall.The JSI_radiation_data.txt consists of comma separated values, with a header row indicating the data types. Timestamp is with respect to Unix Epoch time (as is standard in ROS). Spatial coordinates of the robot x, y, z are in metres. As the robot is a ground level 2D robot, the SLAM estimate restricts the Z height to be roughly constant. Only x and y data are necessary. The counts data are in counts per second, indicating the number of events collected over a ~1 second time window by a CeBr3 scintillator detector and mixed field analyser.The map file (.pgm) is a trinary (three value) map generated by SLAM via ROS (Robot Operating System). The three values related to occupied (obstacles and physical features, such as walls), unoccupied (free-space), and unknown.The map metadata file (.yaml) provides values to convert pixel position of the map file into coordinates (in metres).Data was originally collected 31/01/2020 (in ROS bag format), which was interrogated to provide the data in the .txt file.This dataset is then post-processed to provide interpolated maps of gamma radiation, based on the point observations and maps in these files. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL https://figshare.manchester.ac.uk/articles/dataset/JSI_Gamma_Radiation_Dataset_and_SLAM_Map/14152163...
 
Title JSI Gamma Radiation Dataset and SLAM Map 
Description Three files consisting of a txt file dataset of gamma radiation count observations, with SLAM estimated position, and a 2D SLAM map of the Jožef Stefan Institute (JSI) TRIGA Mark II reactor hall.The JSI_radiation_data.txt consists of comma separated values, with a header row indicating the data types. Timestamp is with respect to Unix Epoch time (as is standard in ROS). Spatial coordinates of the robot x, y, z are in metres. As the robot is a ground level 2D robot, the SLAM estimate restricts the Z height to be roughly constant. Only x and y data are necessary. The counts data are in counts per second, indicating the number of events collected over a ~1 second time window by a CeBr3 scintillator detector and mixed field analyser.The map file (.pgm) is a trinary (three value) map generated by SLAM via ROS (Robot Operating System). The three values related to occupied (obstacles and physical features, such as walls), unoccupied (free-space), and unknown.The map metadata file (.yaml) provides values to convert pixel position of the map file into coordinates (in metres).Data was originally collected 31/01/2020 (in ROS bag format), which was interrogated to provide the data in the .txt file.This dataset is then post-processed to provide interpolated maps of gamma radiation, based on the point observations and maps in these files. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact This research dataset was used as part of publication DOI: 10.1038/s41598-021-93474-4, demonstrating how an unmanned ground vehicle can remotely inspect and characterise an operational nuclear reactor. 
URL https://figshare.manchester.ac.uk/articles/dataset/JSI_Gamma_Radiation_Dataset_and_SLAM_Map/14152163
 
Title JSI Gaussian Process Regression Interpolation Results 
Description Output from Gaussian Process Regression (GPR) on gamma radiation data observations from the reactor hall at the Jožef Stefan Institute (JSI) TRIGA Mark II facility.The file is comma separated, with header row. Data columns are grid positions x and y (in metres), the estimated gamma counts (mean), and the absolute variance estimates, including upper and lower values. Variance can be used as an indication of confidence in a given estimate.Grid positions correspond to locations of "free-space" identified in the SLAM map created by the robot during the survey mission. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL https://figshare.manchester.ac.uk/articles/dataset/JSI_Gaussian_Process_Regression_Interpolation_Res...
 
Title JSI Gaussian Process Regression Interpolation Results 
Description Output from Gaussian Process Regression (GPR) on gamma radiation data observations from the reactor hall at the Jožef Stefan Institute (JSI) TRIGA Mark II facility.The file is comma separated, with header row. Data columns are grid positions x and y (in metres), the estimated gamma counts (mean), and the absolute variance estimates, including upper and lower values. Variance can be used as an indication of confidence in a given estimate.Grid positions correspond to locations of "free-space" identified in the SLAM map created by the robot during the survey mission. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact This research dataset was used as part of publication DOI: 10.1038/s41598-021-93474-4, demonstrating how an unmanned ground vehicle can remotely inspect and characterise an operational nuclear reactor. 
URL https://figshare.manchester.ac.uk/articles/dataset/JSI_Gaussian_Process_Regression_Interpolation_Res...
 
Title LIBS spectra of nuclear materials 
Description Development of a database for Laser Induced Breakdown Spectroscopy (LIBS) and Raman spectroscopy of nuclear materials which will aid in the characterisation phase of nuclear decommissioning processes 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? No  
Impact It is still under development but will be used for an Innovate UK project proposal for an actual decommissioing project at Sellafield 
 
Title LUNL Gamma Radiation Dataset and SLAM Map 
Description Three files consisting of a txt file dataset of gamma radiation count observations, with SLAM estimated position, and a 2D SLAM map of the Lancaster University Neutron Laboratory (LUNL).The LUNL_radiation_data.txt consists of comma separated values, with a header row indicating the data types. Timestamp is with respect to Unix Epoch time (as is standard in ROS). Spatial coordinates of the robot x, y, z are in metres. As the robot is a ground level 2D robot, the SLAM estimate restricts the Z height to be roughly constant. Only x and y data are necessary. The counts data are in counts per second, indicating the number of events collected over a ~1 second time window by a CeBr3 scintillator detector and mixed field analyser.The map file (.pgm) is a trinary (three value) map generated by SLAM via ROS (Robot Operating System). The three values related to occupied (obstacles and physical features, such as walls), unoccupied (free-space), and unknown.The map metadata file (.yaml) provides values to convert pixel position of the map file into coordinates (in metres).Data was originally collected 05/12/2019 (in ROS bag format), which was interrogated to provide the data in the .txt file.This dataset is then post-processed to provide interpolated maps of gamma radiation, based on the point observations and maps in these files. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL https://figshare.manchester.ac.uk/articles/dataset/LUNL_Gamma_Radiation_Dataset_and_SLAM_Map/1415226...
 
Title LUNL Gamma Radiation Dataset and SLAM Map 
Description Three files consisting of a txt file dataset of gamma radiation count observations, with SLAM estimated position, and a 2D SLAM map of the Lancaster University Neutron Laboratory (LUNL).The LUNL_radiation_data.txt consists of comma separated values, with a header row indicating the data types. Timestamp is with respect to Unix Epoch time (as is standard in ROS). Spatial coordinates of the robot x, y, z are in metres. As the robot is a ground level 2D robot, the SLAM estimate restricts the Z height to be roughly constant. Only x and y data are necessary. The counts data are in counts per second, indicating the number of events collected over a ~1 second time window by a CeBr3 scintillator detector and mixed field analyser.The map file (.pgm) is a trinary (three value) map generated by SLAM via ROS (Robot Operating System). The three values related to occupied (obstacles and physical features, such as walls), unoccupied (free-space), and unknown.The map metadata file (.yaml) provides values to convert pixel position of the map file into coordinates (in metres).Data was originally collected 05/12/2019 (in ROS bag format), which was interrogated to provide the data in the .txt file.This dataset is then post-processed to provide interpolated maps of gamma radiation, based on the point observations and maps in these files. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact This research dataset was used as part of publication DOI: 10.1038/s41598-021-93474-4, demonstrating how an unmanned ground vehicle can remotely inspect and characterise an operational nuclear reactor. 
URL https://figshare.manchester.ac.uk/articles/dataset/LUNL_Gamma_Radiation_Dataset_and_SLAM_Map/1415226...
 
Title LUNL Gaussian Process Regression Interpolation Results 
Description Output from Gaussian Process Regression (GPR) on gamma radiation data observations from the reactor hall at the Lancaster University Neutron Laboratory (LUNL).The file is comma separated, with header row. Data columns are grid positions x and y (in metres), the estimated gamma counts (mean), and the absolute variance estimates, including upper and lower values. The variance can be used as an indicator of confidence in the estimate.Grid positions correspond to locations of "free-space" identified in the SLAM map created by the robot during the survey mission. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact This research dataset was used as part of publication DOI: 10.1038/s41598-021-93474-4, demonstrating how an unmanned ground vehicle can remotely inspect and characterise an operational nuclear reactor. 
URL https://figshare.manchester.ac.uk/articles/dataset/LUNL_Gaussian_Process_Regression_Interpolation_Re...
 
Title LUNL Gaussian Process Regression Interpolation Results 
Description Output from Gaussian Process Regression (GPR) on gamma radiation data observations from the reactor hall at the Lancaster University Neutron Laboratory (LUNL).The file is comma separated, with header row. Data columns are grid positions x and y (in metres), the estimated gamma counts (mean), and the absolute variance estimates, including upper and lower values. The variance can be used as an indicator of confidence in the estimate.Grid positions correspond to locations of "free-space" identified in the SLAM map created by the robot during the survey mission. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL https://figshare.manchester.ac.uk/articles/dataset/LUNL_Gaussian_Process_Regression_Interpolation_Re...
 
Title MCNP Simulated Gamma Flux from LUNL Source 
Description Simulation results of gamma flux from the Californium source at the Lancaster University Neutron Source (LUNL), using MCNP 6. This data was used to benchmark the GPR approach used to interpolate radiation observations collected by an unmanned ground vehicle.Data is comma separated, with a header row. Columns are x, y, and z grid positions in centimetres, followed by the recorded flux and error estimate.Data was recorded for an xy plane, mimicking the height where a sensor affixed to a ground robot would sample. The flux is energy integrated over 200 keV to 2500 keV, similar to the CeBr3 detector used in robot deployment.The simulation environment consists of an isotropic 252Cf source surrounded by water, an air gap, followed by a concrete outer layer. Gamma flux contributions come from the source directly (spontaneous fission spectrum), as well as activation of nearby materials. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact This research dataset was used as part of publication DOI: 10.1038/s41598-021-93474-4, demonstrating how an unmanned ground vehicle can remotely inspect and characterise an operational nuclear reactor. 
URL https://figshare.manchester.ac.uk/articles/dataset/MCNP_Simulated_Gamma_Flux_from_LUNL_Source/141525...
 
Title MCNP Simulated Gamma Flux from LUNL Source 
Description Simulation results of gamma flux from the Californium source at the Lancaster University Neutron Source (LUNL), using MCNP 6. This data was used to benchmark the GPR approach used to interpolate radiation observations collected by an unmanned ground vehicle.Data is comma separated, with a header row. Columns are x, y, and z grid positions in centimetres, followed by the recorded flux and error estimate.Data was recorded for an xy plane, mimicking the height where a sensor affixed to a ground robot would sample. The flux is energy integrated over 200 keV to 2500 keV, similar to the CeBr3 detector used in robot deployment.The simulation environment consists of an isotropic 252Cf source surrounded by water, an air gap, followed by a concrete outer layer. Gamma flux contributions come from the source directly (spontaneous fission spectrum), as well as activation of nearby materials. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL https://figshare.manchester.ac.uk/articles/dataset/MCNP_Simulated_Gamma_Flux_from_LUNL_Source/141525...
 
Title Radiation Avoidance of a UGV Using Radiation Aware Costmaps at Lancaster University Neutron Laboratory 
Description Two files representing the paths taken by a Clearpath UGV, when radiation avoidance is enabled or disabled (labelled respectively).Data was collected at the Lancaster University Neutron Laboratory, with the robot exposed to a Cf-252 neutron source, producing gamma emission as a consequence. The robot was equipped with a CeBr3 detector and mixed field analyser, able to perform integrated gamma dosimetry between energies 300 keV - 2500 keV, reporting dose rate in counts/second at a rate of 1 Hz via ROS.A map (.pgm) and associated metadata (.yaml) files are provided, generated by the robot using SLAM (simultaneous localisation and mapping). The source enclosure can be seen as a square "missing" from the map, with the radiation source itself exposed to the left (positive x) edge of the tank. The thinner passageway is therefore containing a mixed neutron/gamma radiation field.The robot was first manually piloted around the laboratory to produce a known radiation map, before being piloted to a position near the radiation source. The robot was then instructed to navigate to a goal position, in which the shortest path would pass the radiation source. When radiation avoidance is enabled, the robot endeavours to take the longer yet lower exposure path around the opposite side of the source enclosure.The robot therefore receives a lower accumulated dose (near background rates) when radiation avoidance is enabled. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://figshare.manchester.ac.uk/articles/dataset/Radiation_Avoidance_of_a_UGV_Using_Radiation_Awar...
 
Title Radiation Avoidance of a UGV Using Radiation Aware Costmaps at Lancaster University Neutron Laboratory 
Description Two files representing the paths taken by a Clearpath UGV, when radiation avoidance is enabled or disabled (labelled respectively).Data was collected at the Lancaster University Neutron Laboratory, with the robot exposed to a Cf-252 neutron source, producing gamma emission as a consequence. The robot was equipped with a CeBr3 detector and mixed field analyser, able to perform integrated gamma dosimetry between energies 300 keV - 2500 keV, reporting dose rate in counts/second at a rate of 1 Hz via ROS.A map (.pgm) and associated metadata (.yaml) files are provided, generated by the robot using SLAM (simultaneous localisation and mapping). The source enclosure can be seen as a square "missing" from the map, with the radiation source itself exposed to the left (positive x) edge of the tank. The thinner passageway is therefore containing a mixed neutron/gamma radiation field.The robot was first manually piloted around the laboratory to produce a known radiation map, before being piloted to a position near the radiation source. The robot was then instructed to navigate to a goal position, in which the shortest path would pass the radiation source. When radiation avoidance is enabled, the robot endeavours to take the longer yet lower exposure path around the opposite side of the source enclosure.The robot therefore receives a lower accumulated dose (near background rates) when radiation avoidance is enabled. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact This research dataset was used as part of publication DOI: 10.3389/frobt.2022.862067, demonstrating how robots can autonomously avoid ionising radiation and increase their operational lifetime. 
URL https://figshare.manchester.ac.uk/articles/dataset/Radiation_Avoidance_of_a_UGV_Using_Radiation_Awar...
 
Title Radiation Exposure Reduction During Autonomous Exploration 
Description Each folder contains 20 individual autonomous exploration sessions of a simulated environment. The robot is instructed to explore (using frontiers exploration) whilst 5 simulated gamma radiation sources are present in the space. Radiation avoidance is enabled or disabled in each case (labelled enabled or disabled respectively).Data is comma separated based on ROS message output, with header: time (ns), sequential number, ros message time stamp (ns), transform frame of the sensor (string), sensor pose {x,y,z} (m), sensor orientation quaternion {x,y,z,w}.Also included as a 2D map of the environment produced by the robot using SLAM (simultaneous localisation and mapping). Each cell of the map is represented by three states in the .pgm file as free space, obstacle, or unknown. The resolution, origin, and other metadata for the map is found in the accompanying .yaml file.On average, when the robot is exploring the unknown environment with radiation awareness enabled, accumulated dose is less than when the robot does not take action to avoid ionising radiation. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact This research dataset was used as part of publication DOI: 10.3389/frobt.2022.862067, demonstrating how robots can autonomously avoid ionising radiation and increase their operational lifetime. 
URL https://figshare.manchester.ac.uk/articles/dataset/Radiation_Exposure_Reduction_During_Autonomous_Ex...
 
Title Radiation Exposure Reduction During Autonomous Exploration 
Description Each folder contains 20 individual autonomous exploration sessions of a simulated environment. The robot is instructed to explore (using frontiers exploration) whilst 5 simulated gamma radiation sources are present in the space. Radiation avoidance is enabled or disabled in each case (labelled enabled or disabled respectively).Data is comma separated based on ROS message output, with header: time (ns), sequential number, ros message time stamp (ns), transform frame of the sensor (string), sensor pose {x,y,z} (m), sensor orientation quaternion {x,y,z,w}.Also included as a 2D map of the environment produced by the robot using SLAM (simultaneous localisation and mapping). Each cell of the map is represented by three states in the .pgm file as free space, obstacle, or unknown. The resolution, origin, and other metadata for the map is found in the accompanying .yaml file.On average, when the robot is exploring the unknown environment with radiation awareness enabled, accumulated dose is less than when the robot does not take action to avoid ionising radiation. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://figshare.manchester.ac.uk/articles/dataset/Radiation_Exposure_Reduction_During_Autonomous_Ex...
 
Description Named collaborator: Hybrid Instruments Ltd. 
Organisation Hybrid Instruments Ltd
Country United Kingdom 
Sector Private 
PI Contribution Opportunity for UK company to break into new market.
Collaborator Contribution The Hybrid Instrument team is expert in ultra-fast digital instrumentation design and real-time digital signal processing for radiation measurements with a track record in delivering bespoke hardware with these capabilities.
Impact Detailed design of electronics for inclusion in reports and steering R&D activities; core project deliverables.
Start Year 2021
 
Description Nuclear forensics 
Organisation Atomic Weapons Establishment
Country United Kingdom 
Sector Private 
PI Contribution Feasibility of using remote LIBS for nuclear forensics applications
Collaborator Contribution Provision of samples
Impact 3 publications forthcoming
Start Year 2017
 
Description Sellafield active measurements 
Organisation Sellafield Ltd
Country United Kingdom 
Sector Private 
PI Contribution We have described the feasibility of doing these tests and supplied papers demonstrating how similar measurements have been done elsewhere.
Collaborator Contribution Our partners are exploring with their colleagues how such tests on site can be done and supported in terms of time and resource.
Impact A partnership has been established with Sellafield sites Ltd. within which we are exploring the feasibility of active tests with our TORONE-derived, neutron/gamma-ray imager on site. If successful these tests are likely to have an impact on the policy taken on site to how such assessments are done.
Start Year 2019
 
Title ROS Compatible Autonmous Radiation Avoidance 
Description Novel implementation of layered costmaps in ROS (Robot Operating System), which synthesizes radiation data into maps of hazardous locations. The robot can then deliberate avoid these areas based on information in the costmap. By avoiding areas of elevated radiation dose, the robot can increase mission lifetime by reducing ionising radiation induced damaged to electronics and materials. 
Type Of Technology Software 
Year Produced 2020 
Impact This software has already been utilised for research by Bristol Robotics Laboratory, as well as being demonstrated on a real robot platform (Clearpath Jackal) at the Lancaster Neutron Laboratory to reduce radiation exposure. 
 
Title Simulation of gamma radiation transport in Gazebo with ROS 
Description This software provides a method to simulate gamma radiation transport, including spatial effects and attenuation in the Gazebo physics engine as part of ROS (Robot Operating System) framework. For the first time, a ROS compatible solution to simulate ionising radiation allows for robotics developers to build, test and approve on radiation based algorithms without the need for deployment into hazardous environments. 
Type Of Technology Software 
Year Produced 2020 
Impact This software has already seen promotion within the UK nuclear robotics community, being used by Bristol Robotics Laboratory, Lincoln Centre for Autonomous Systems and University of Manchester for development of the next generation of nuclear inspection robotics. 
 
Description Python code to import point gamma radiation observations collected by a Unmanned Ground Vehicle, and interpolate onto a map produced by robot SLAM (Simultaneous Localisation and Mapping).Interpolation is performed using Gaussian Process Regression, via use of the freely available GPy library.This code specifically imports the correct map files and robot datasets for analysis, as well as outputting the result to a comma separated file, based on data taken at the Jožef Stefan Institute (JSI) TRIGA Mark II reactor, Slovenia.The "directory" variable can be altered to match that of the users requirements, i.e. where the dataset, map, and map metadata reside.For such a large dataset, expect this to run for 10s of minutes on a fairly modern PC. GPy appears to have multicore support, so the whole machine may be co-opted to compute the regression and extract the estimated values for the map related data. 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
URL https://figshare.manchester.ac.uk/articles/software/GPR_analysis_script_for_JSI_radiation_dataset/14...
 
Description Python code to import point gamma radiation observations collected by a Unmanned Ground Vehicle, and interpolate onto a map produced by robot SLAM (Simultaneous Localisation and Mapping).Interpolation is performed using Gaussian Process Regression, via use of the freely available GPy library.This code specifically imports the correct map files and robot datasets for analysis, as well as outputting the result to a comma separated file, based on data taken at the Jožef Stefan Institute (JSI) TRIGA Mark II reactor, Slovenia.The "directory" variable can be altered to match that of the users requirements, i.e. where the dataset, map, and map metadata reside.For such a large dataset, expect this to run for 10s of minutes on a fairly modern PC. GPy appears to have multicore support, so the whole machine may be co-opted to compute the regression and extract the estimated values for the map related data. 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
URL https://figshare.manchester.ac.uk/articles/software/GPR_analysis_script_for_JSI_radiation_dataset/14...
 
Description Python code to import point gamma radiation observations collected by a Unmanned Ground Vehicle, and interpolate onto a map produced by robot SLAM (Simultaneous Localisation and Mapping).Interpolation is performed using Gaussian Process Regression, via use of the freely available GPy library.This code specifically imports the correct map files and robot datasets for analysis, as well as outputting the result to a comma separated file, based on data taken at the Lancaster University Neutron Laboratory (LUNL).The "directory" variable can be altered to match that of the users requirements, i.e. where the dataset, map, and map metadata reside.This dataset is very small and should run in less than a minute on a fairly modern PC. 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
URL https://figshare.manchester.ac.uk/articles/software/GPR_analysis_script_for_LUNL_radiation_dataset/1...
 
Description Python code to import point gamma radiation observations collected by a Unmanned Ground Vehicle, and interpolate onto a map produced by robot SLAM (Simultaneous Localisation and Mapping).Interpolation is performed using Gaussian Process Regression, via use of the freely available GPy library.This code specifically imports the correct map files and robot datasets for analysis, as well as outputting the result to a comma separated file, based on data taken at the Lancaster University Neutron Laboratory (LUNL).The "directory" variable can be altered to match that of the users requirements, i.e. where the dataset, map, and map metadata reside.This dataset is very small and should run in less than a minute on a fairly modern PC. 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
URL https://figshare.manchester.ac.uk/articles/software/GPR_analysis_script_for_LUNL_radiation_dataset/1...
 
Description Andrew West delivered a talk at the International Conference on Intelligent Robots and Systems (IROS) - Pose Estimation for Mobile Robots to Maximise Data Quality of Fixed-Focus Laser Diagnostics in Hazardous Environments 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact Andrew West presented his talk on the use of robotics in radioactive environments to the attendees of the conference, showcasing the advantages of using robots in dangerous environments to not only reduce risks to humans, but to also maximise data accuracy, such as through programmed repetitive tasks, or by being able to withstand the conditions for a longer period of time.
Year(s) Of Engagement Activity 2018
URL https://www.ieee-ras.org/component/rseventspro/event/1142-iros-2018-ieee-rsj-international-conferenc...
 
Description Andrew West gave a talk at the LIGHT Conference in Changchun, China - Remote Photonics for Characterisation of Radioactive Environments 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Andrew West presented a talk titled "Remote Photonics for Characterisation of Radioactive Environments", presenting the capabilities of robotic use in identifying materials in environments that are potentially dangerous to humans.
Year(s) Of Engagement Activity 2018
 
Description Blog article for Clearpath Robotics by Andrew West 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Information was requested by Clearpath Robotics based on published journal article by the TORONE project, which utilises a Clearpath Robotics Jackal Unmanned Ground Vehicle. This blog post highlights the research undertaken by TORONE, but also the impacts it has with respect to the nuclear sector.
Year(s) Of Engagement Activity 2020
URL https://clearpathrobotics.com/blog/2021/02/research-team-reduces-human-risk-in-nuclear-environments-...
 
Description Blog on Science and Industry Museum Website 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Public/other audiences
Results and Impact A blog post written by TORONE Project Researcher Andy West was posted onto the Science and Industry Museum website, outlining the work going in to creating the robots for the project.
Year(s) Of Engagement Activity 2018
URL https://blog.scienceandindustrymuseum.org.uk/robots-lasers-beams/
 
Description Engaging with Festival attendees at the Blue Dot Festival 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Public/other audiences
Results and Impact Dr Andrew West Engaged with festival attendees about nuclear energy generation and the role robotics and artificial intelligence can play in the future of nuclear energy, decommissioning, and waste management. Three activities were also ran during the event to highlight current challenges faced by radiation workers and how robotic and AI solutions could help, and I oversaw these activities as well as speaking to the general public. Ages range from young children to adults, including adults who are currently employed in the nuclear sector.
Year(s) Of Engagement Activity 2019
URL https://www.discoverthebluedot.com/
 
Description In-situ Optical Characterisation of Nuclear Environments, UK RAS Conference in Bristol, 2017. By Andy West 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Conference presentation at UK RAS Conference in Bristol, 2017.
Year(s) Of Engagement Activity 2017
 
Description Invited talk presented by Andrew West 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact As a result of presentations made by Andrew West at the IEEE NSS conference 2020, they were invited to present in further detail the TORONE project and efforts into nuclear robotics at the University of Manchester in a talk entitled "Robotics for Extreme Environments at The University of Manchester" for the Applied Nuclear Physics group at Lawrence Berkley National Laboratory. This then further led to discussions regarding collaboration and a reciprocated agreement for an invited talk by the group hosted by Manchester.
Year(s) Of Engagement Activity 2020
 
Description Invited to talk at the AIMES Symposium 2019 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Postgraduate students
Results and Impact Dr Andrew West was invited to present a talk at the AIMES (Advanced Intelligent Multi-Energy Systems) Symposium 2019, in which we presented a talk titled "How robots see the world - common sensors used for robot perception"
Year(s) Of Engagement Activity 2019
URL http://events.manchester.ac.uk/event/event:t1li-jw0qzfxx-uu1v37/advanced-intelligent-multienergy-sys...
 
Description Oral presentation at LIBS 2020 Sept 20-25 in Japan given by Paul Coffey 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact This was the primary international conference in Laser Induced Breakdown Spectroscopy (LIBS) and the intention was to present the initial output of the projects based on robot mounted LIBS. The Japanese and Koreans are active in this area where many of the participants are from.
Year(s) Of Engagement Activity 2020
URL http://www.fm.ehcc.kyoto-u.ac.jp/Sakkalab/member/sakka/LIBS2020/index.htm
 
Description Oral presentation at Optical Society of America meeting 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The presentation was to highlight the quality of the work that we are doing in this subject area in the UK to primarily the North American audience. Some potential collaborators at one of the US National Labs (PNNL) was one outcome.
Year(s) Of Engagement Activity 2020
 
Description Participation in ANIMMA 2019 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Dr Andrew West presented a talk at the ANNIMA (Advancements in Nuclear Instrumentation Measurement Methods and their Applications) conference, discussing some of the work ongoing within the TORONE Project with a talk titled "Mapping the Radiation Dose Environment of Nuclear Facilities"
Year(s) Of Engagement Activity 2019
URL http://www.animma.com/
 
Description Participation in an Industrial Advisory Board on 13th June 2019 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact An Industrial Advisory Board was organised in order to present the current works of the TORONE project to industrial experts from Sellafield and the National Nuclear Laboratory. In doing so the current direction of the project was assessed, and some ideal next steps and guidance were given to provide the project with a clear direction in which it needs to go.
Year(s) Of Engagement Activity 2019
 
Description PhLAME (Photonics and Laser Analysis of Materials and Environments) meeting, involving TORONE researchers, and external members of industry 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact Members from the TORONE team hosted a PhLAME research group meeting, allowing for the exchange of ideas and news around nuclear decommissioning. In doing so, the direction of research has been validated, and industry professionals have been made aware of new research being undertaken around decommissioning
Year(s) Of Engagement Activity 2017
 
Description PhLAME Research Group research symposium 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact The PhLAME Research Group research symposium was a small research group meeting in which employees from nuclear industries, such as AWE, NNL, and Sellafield ltd, and researchers from the University of Manchester, including some of those working on the TORONE project, met to discuss ideas around decommissioning and clean up on nuclear listed sites. The presentations from researchers sparked debate on the real world applications of their research, with presentations from industry professionals creating discussion about policies in place, as well as how the link between research and industry can be improved.
Year(s) Of Engagement Activity 2019
URL https://www.torone-project.com/phlame-events.html
 
Description PhLAME research group workshop 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact The TORONE project hosted a workshop/Symposium for the PhLAME research group in which current research, policies around nuclear decommissioning, and work practices in the nuclear sector. In doing so, links between researchers and industry professionals were made.
Year(s) Of Engagement Activity 2019
 
Description Poster presentation at the international Waste Management Symposium 2022 in Phoenix, Arizona by Philip Martin 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Largest nuclear waste management conference in the world with academics, national labs, policy makers present. Generated several discussions with the Bristol University group about potential collaborations,
Year(s) Of Engagement Activity 2022
URL http://www.wmsym.org
 
Description Poster presentation delivered by Andrew West at the Towards Autonomous Robotic Systems (TAROS) conference - ROS integration for Miniature Robots 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact Andrew West presented a poster relating to some of the TORONE work and his findings. While there he presented this to a multitude of visitors, and increased interest in the use of robotics for nuclear decomissioning
Year(s) Of Engagement Activity 2018
URL http://www.brl.ac.uk/taros2018.aspx
 
Description Presentation at the UK-RAS Away Day by Andrew West 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Presentation made as part of a (successful) bid for UK-RAS Strategic Task Group funding by Andrew West, to support standardisation of ROS (Robot Operating System) approaches for nuclear instrumentation data. The event consisted of leading academics in robotics and autonomous systems in the UK, including the award panel members. The bid was successfully funded.
Year(s) Of Engagement Activity 2020
 
Description Robots > Humans (Sometimes) Talk delivered by Dr Andy West at the South West Nuclear Hub 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Postgraduate students
Results and Impact Dr Andy West delivered a presentation outlining some of his work that his taking place within the TORONE Project. This was delivered at the South West Nuclear Hub, based at Bristol University, and sparked discussion around the use of robots within nuclear environments.
Year(s) Of Engagement Activity 2019
 
Description Taking part in an online Q&A Session 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact Students around Manchester submitted questions to the Great Science Share, which involved staff from the University of Manchester, including a TORONE Project PDRA, answering these questions.
Year(s) Of Engagement Activity 2018
URL https://www.greatscienceshare.org/askaquestion
 
Description Talk at Sci-Tech 2018, titled 'Characterisation and Decontamination', delivered by Andrew West 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Andrew West, Ioannis Tsitsimpelis, and Paul Coffey demonstrated some of the robots being developed as part of the TORONE project at the Sci-Tech 2018 conference, promoting the work being carried out to professionals and researchers. This demonstration sparked some discussion around the use of the technology being developed.
Year(s) Of Engagement Activity 2018
URL https://scitec2018.co.uk/attendees/
 
Description Talk by Andrew West at the Nuclear Frontiers conference - Using Mobile Robots for Characterisation of Nuclear Environments 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact Andrew West presented a talk on the use of robotics in Nuclear environments, highlighting the benefits of using robots to reduce the risk to humans, as well as the completion of repetitive tasks in order to increase data accuracy.
Year(s) Of Engagement Activity 2019
URL https://southwestnuclearhub.ac.uk/event/nuclear-frontiers-conference/
 
Description Talk given at by Nick Smith and Andrew West at the Decontamination Science IR&D Workshop - 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact Andrew West and Nick Smith presented completed and on-going work undertaken as part of the TORONE project, with a extended discussion session following afterwards. The event was organised by the National Nuclear Laboratory (NNL), and attended by industry and researchers whose work covers characterisation and decontamination of nuclear environments. Talks ranged from remote inspection to chemical analysis and processes. They were able to make new links with industry partners such as NNL and Sellafield Ltd, but also meet fellow university researchers (some of which are at the University of Manchester) and begin to foster possible sharing of work and collaboration.
Year(s) Of Engagement Activity 2018
 
Description Talk given by Andrew West at the 2020 IEEE NSS-MIC Conference 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Andrew West presented a poster talk entitled "Remote Robotic Mapping of Arbitrary Gamma Radiation Fields", highlighting practical research undertaken during the TORONE project at the IEEE NSS-MIC conference 2020. The event was hosted online, with physical representation at Boston, MA, USA. During open discussion, researchers from other universities were interested to speak with the presenter to learn more about the TORONE project and techniques used. This has lead to cross-pollination and multiple invited talks as a result.
Year(s) Of Engagement Activity 2020
 
Description Talk given by Andrew West at the 2020 NENE conference 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Andrew West presented talk entitled "Remote radiation inspection of Jožef Stefan Institute Mark II TRIGA reactor using a mobile robotic platform", highlighting practical research undertaken during the TORONE project at the NENE conference. The presentation was given online to >150 persons, however, it was in tandem with an in-person audience of >150 persons (>300 persons in attendance). Multiple participants asked questions at the session, and a few emailed asking for more information.
Year(s) Of Engagement Activity 2020
 
Description Talk given by Andrew West at the Sheffield Robotics Showcase - Robotics ans AI In Nuclear 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact Andrew West was invited to present a talk on the robotics work being undertaken as part of the TORONE project. In doing so he presented the rationale behind the research, as well as the aims for the project.
Year(s) Of Engagement Activity 2018
 
Description The TORONE project was featured in a News article on the Culham Centre for Fusion Energy website 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Media (as a channel to the public)
Results and Impact Members of the TORONE project team were interviewed to discuss the aims of the TORONE project, as well as it's potential uses in an article outlining the work of the project.
Year(s) Of Engagement Activity 2018
URL http://www.ccfe.ac.uk/news_detail.aspx?id=449
 
Description UK - Japan Collaboration Workshop in Nuclear Waste Management & Decommissioning: 5-9 February 2019 (EPSRC sponsored) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Philip Martin, Barry Lennox and Michael Aspinall took part in workshop discussions in Kyoto with Japanese research scientists and industrial participants around the area of nuclear decommissioning. There was much interest in how the UK could help the Japanese in decommissioing the Fukushima nuclear site where characterisation in extreme environments could be expected to play a major role.
Year(s) Of Engagement Activity 2019
 
Description UK-RAS ROS for Nuclear Sensing Workshop by Andrew West 
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 Andrew West facilitated a UK-RAS backed workshop on the standardisation of ROS (Robot Operating System) messages for radiation sensing instrumentation. Participants included both national and international university researchers, nuclear instrumentation manufacturers, and nuclear industry professionals. The outcomes of the workshop were then fed to an executive group of volunteers drawn from the participants. Generation of a whitepaper on the findings is currently under way.
Year(s) Of Engagement Activity 2020
URL https://youtu.be/rdy53jwjKZA
 
Description Visiting a School and judging a Lego League Challenge 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact Dr Andrew West Judged and refereed school teams participating in the Manchester regional FIRST LEGO League event. Eleven schools from the Manchester region registered to compete for the chance to go on to national (and international) tournaments. Tournaments consist of two activities, a group presentation on the future of space travel and a robotic challenge conducted on a known course. Judging and refereeing took place across these two activities.
Year(s) Of Engagement Activity 2019
 
Description We were host to a visit by Professor Abdallah Lyoussi, Expert Internationale from the CEA and the University of Aix Marseille, Provence, France. 
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 We were host to Professor Abdallah Lyoussi in the context of nuclear radiation measurement activities and the integration of a dedicated workshop session on this topic in the IEEE ANIMMA and IEEE NSS-MIC conferences this year.
Year(s) Of Engagement Activity 2019