French, R., Cryer, A., Kapellmann-Zafra, G. et al. (1 more author) (2018) Evaluating the Radiation Tolerance of a Robotic Finger. In: Towards Autonomous Robotic Systems. Towards Autonomous Robotic Systems 2018 (Taros 2018), 25-27 Jul 2018, Bristol, UK. Lecture Notes in Computer Science (10965). Springer Verlag ISBN 978-3-319-96727-1
Abstract
In 2024, The Large Hadron Collider (LHC) at CERN will be upgraded to increase its luminosity by a factor of 10 (HL-LHC). The ATLAS inner detector (ITk) will be upgraded at the same time. It has suffered the most radiation damage, as it is the section closest to the beamline, and the particle collisions. Due to the risk of excessive radiation doses, human intervention to decommission the inner detector will be restricted. Robotic systems are being developed to carry out the decommissioning and limit radiation exposure to personnel. In this paper, we present a study of the radiation tolerance of a robotic finger assessed in the Birmingham Cyclotron facility. The finger was part of the Shadow Grasper from Shadow Robot Company, which uses a set of Maxon DC motors.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Springer. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Radiation; Robotic Grasping System; Radioactive Environment |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Physics and Astronomy (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - FP6/FP7 AIDA - 262025 SCIENCE AND TECHNOLOGY FACILITIES COUNCIL UNSPECIFIED EUROPEAN COMMISSION - HORIZON 2020 654168 SCIENCE AND TECHNOLOGY FACILITIES COUNCIL ST/N000277/1 EPSRC CENTRE FOR INNOVATIVE MANUFACTURING IN LARGE-AREA ELECTRONICS UNSPECIFIED RUTHERFORD APPLETON LABORATORY - STFC 4070170493 INNOVATE UK (TSB) TS/P005500/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Jul 2018 13:34 |
Last Modified: | 19 Dec 2022 13:50 |
Published Version: | https://doi.org/10.1007/978-3-319-96728-8_9 |
Status: | Published online |
Publisher: | Springer Verlag |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-96728-8_9 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132937 |