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Advanced Sensors and Robotics for Radiological Environments

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 2817

Special Issue Editors


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Guest Editor
Department of Engineering, Lancaster University, Lancaster LA1 4YW, UK
Interests: radiological instrumentation; robotics in nuclear decommissioning environments
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Engineering, Lancaster University, Lancaster LA1 4YW, UK
Interests: sensors; nuclear instrumentation; sub-aquatic robotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

There is a constant demand for new and novel techniques to undertake operations within radiologically active environments due to considerations such as unstructured surroundings and lack of permitted human access. Such environments exist at locations such as Sellafield and the Fukushima Daiichi NPP, where operations such as inspection, maintenance, and repair may only be possible using a combination of robotic actuation and advanced sensing techniques. However, related research may also be in demand for use within other less commonly considered locations, such as hospitals (where radiological examinations can occur using radioisotopes such as Tc99m), and at research facilities, such as the ITER fusion reactor due to create its first plasma in 2025, where maintenance robots will be required to repair the tokamak periodically, for example. Here, we invite submissions related to the development of robotics and sensors designed to be utilized within any radiological environment, with an emphasis on practical implementation.

Dr. Stephen Monk
Dr. David Cheneler
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • robot vision
  • autonomy
  • control
  • in situ operations
  • soft robotics
  • robot–human interaction
  • data fusion
  • robotic navigation
  • advanced sensing and haptics
  • radiation-hardened sensors and robotics

Published Papers (1 paper)

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Research

10 pages, 6274 KiB  
Communication
Strong Radiation Field Online Detection and Monitoring System with Camera
by Yongchao Han, Shoulong Xu, Yang Liu, Ling Xu, Dawei Gong, Zhiwei Qin, Hanfeng Dong and Huaiqing Yang
Sensors 2022, 22(6), 2279; https://doi.org/10.3390/s22062279 - 16 Mar 2022
Viewed by 2130
Abstract
Herein, we report the γ-ray ionizing radiation response of a commercial monolithic active-pixel sensor (MAPS) camera under strong-dose-rate irradiation with an online detection and monitoring system for strong radiation conditions. We present the first results of the distribution of three types of MAPS [...] Read more.
Herein, we report the γ-ray ionizing radiation response of a commercial monolithic active-pixel sensor (MAPS) camera under strong-dose-rate irradiation with an online detection and monitoring system for strong radiation conditions. We present the first results of the distribution of three types of MAPS camera and establish a linear relationship between the average response signal and radiation dose rate in the strong-dose-rate range. There is an obvious response signal in the video frames when the camera module parameters are set to automatic, but the linear response is very poor. However, the fixed image parameters are not good at adapting to the changes of the environment and affect the quality of the video frames. A dual module online radiation detection and monitoring probe was made to carry out effective video monitoring and radiation detection at the same time. The measurement results show that the dose rate detection error is less than 5% with a dose rate in the range of 60 to 425 Gy/h, and the visible light image does not have obvious distortion, deformation, or color shift due to the interference of the radiation response event and radiation damage. Hence, the system test results show that it can be used for online detection and monitoring in a strong radiation environment. Full article
(This article belongs to the Special Issue Advanced Sensors and Robotics for Radiological Environments)
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