Final published version, 3.23 MB, PDF document
Available under license: CC BY: Creative Commons Attribution 4.0 International License
Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - A Low-Cost and Semi-Autonomous Robotic Scanning System for Characterising Radiological Waste
AU - Monk, Stephen
AU - West, Craig
AU - Bandala Sanchez, Manuel
AU - Dixon, Nile
AU - Montazeri, Allahyar
AU - Taylor, C. James
AU - Cheneler, David
PY - 2021/11/2
Y1 - 2021/11/2
N2 - A novel, semi-autonomous radiological scanning system for inspecting irregularly shaped and radiologically uncharacterised objects in various orientations is presented. The system utilises relatively low cost, commercial-off-the-shelf (COTS) electronic components, and is intended for use within relatively low to medium radioactive dose environments. To illustrate the generic concepts, the combination of a low-cost COTS vision system, a six DoF manipulator and a gam-ma radiation spectrometer are investigated. Three modes of vision have been developed, al-lowing a remote operator to choose the most appropriate algorithm for the task. The robot arm subsequently scans autonomously across the selected object, determines the scan positions and enables the generation of radiological spectra using the gamma spectrometer. These data inform the operator of any likely radioisotopes present, where in the object they are located and thus whether the object should be treated as LLW, ILW or HLW.
AB - A novel, semi-autonomous radiological scanning system for inspecting irregularly shaped and radiologically uncharacterised objects in various orientations is presented. The system utilises relatively low cost, commercial-off-the-shelf (COTS) electronic components, and is intended for use within relatively low to medium radioactive dose environments. To illustrate the generic concepts, the combination of a low-cost COTS vision system, a six DoF manipulator and a gam-ma radiation spectrometer are investigated. Three modes of vision have been developed, al-lowing a remote operator to choose the most appropriate algorithm for the task. The robot arm subsequently scans autonomously across the selected object, determines the scan positions and enables the generation of radiological spectra using the gamma spectrometer. These data inform the operator of any likely radioisotopes present, where in the object they are located and thus whether the object should be treated as LLW, ILW or HLW.
KW - radiological scanning
KW - semi-autonomic
KW - Microsoft Kinect
KW - Universal UR3 robot
KW - Kromek RadAngel
KW - MATLAB
KW - ROS
KW - Python
U2 - 10.3390/robotics10040119
DO - 10.3390/robotics10040119
M3 - Journal article
VL - 10
JO - Robotics
JF - Robotics
SN - 2218-6581
IS - 4
M1 - 119
ER -