Abstract
At CERN, radiation surveys of equipment and beam lines are important for safety and analysis throughout the accelerator complex. Radiation measurements are highly dependent on the distance between the sensor and the radiation source. If this distance can be accurately established, the measurements can be used to better understand the radiation levels of the components and can be used for calibration purposes. When surveys are undertaken by the Train Inspection Monorail (TIM) robot, the sensor is at a constant distance from the rail, which means that it is at a known distance and height from the centre of the beam line. However, the distance of the sensor to the closest surface of the beam line varies according to what kind of equipment is installed on the beam line at this point. Ideally, a robotic survey would be completed with online adaption of the sensor position according to the equipment present in the LHC. This new approach establishes a scan of the surface with a 2D LiDAR while moving along the tunnel axis in order to obtain a 3D scan of the environment. This 3D scan will be used to generate online trajectories that will allow the robot to accurately follow the beam line and thus measure the radiation levels.
H. Gamper, D. Forkel, A. D. Rosales and J. P. Garai—Equal contribution of authors.
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21 July 2024
A correction has been published.
References
Forkel-Wirth, D., Silari, M. (eds.): Radiation Protection Group Annual Report 2009 (2010). https://cds.cern.ch/record/2221663/files/AnnRep-RP-2009.pdf
Di Castro, M., et al.: i-TIM: a robotic system for safety, measurements, inspection and maintenance in harsh environments. In: 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), pp. 1–6 (2018). https://doi.org/10.1109/SSRR.2018.8468661
Di Castro, M., Ferre, M., Masi, A.: CERNTAURO: a modular architecture for robotic inspection and telemanipulation in harsh and semi-structured environments. IEEE Access 6, 37506–37522 (2018). https://doi.org/10.1109/ACCESS.2018.2849572
Gandolfo, D., et al.: Path following for unmanned helicopter: an approach on energy autonomy improvement. Inf. Technol. Control. 45 (2016). https://doi.org/10.5755/j01.itc.45.1.12413
Kim, H., Choi, Y.: Location estimation of autonomous driving robot and 3D tunnel mapping in underground mines using pattern matched LiDAR sequential images. Int. J. Min. Sci. Technol. 31(5), 779–788 (2021)
Neumann, T., et al.: Towards a mobile mapping robot for underground mines. In: Proceedings of the 2014 PRASA, RobMech and AfLaT International Joint Symposium, Cape Town, South Africa, pp. 27–28 (2014)
Pachidis, T., et al.: Forward kinematic analysis of JACO\(^2\) robotic arm towards implementing a grapes harvesting robot. In: 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pp. 1–6. IEEE. https://doi.org/10.23919/SoftCOM50211.2020.9238297
Potter, K.M.: The Large Hadron Collider (LHC) project of CERN (No. LHC-Project-Report-36) (1996). https://cds.cern.ch/record/308243
Wu, X.W., et al.: Sinusoidal path planning for attitude maneuver of flexible spacecraft. Appl. Mech. Mater. 532, 187–190 (2014)
Zheng, Q., Gao, Z.: Motion control design optimization: problem and solutions. Int. J. Intell. Control Syst. 10(4), 269–276 (2005)
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Gamper, H. et al. (2023). Adaptive Radiation Survey Using an Autonomous Robot Executing LiDAR Scans in the Large Hadron Collider. In: Billard, A., Asfour, T., Khatib, O. (eds) Robotics Research. ISRR 2022. Springer Proceedings in Advanced Robotics, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-031-25555-7_20
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