Abstract
The development of a novel twin robot system for 3D X-ray imaging integrates advanced robotic control with mobile X-ray technology to significantly enhance diagnostic accuracy and efficiency in both medical and industrial applications. Key technical aspects, including innovative design specifications and system architecture, are discussed in detail. The twin robots operate in tandem, providing comprehensive imaging capabilities with high precision. This novel approach offers potential applications ranging from medical diagnostics to industrial inspections, significantly improving over traditional imaging methods. Preliminary results demonstrate the system’s effectiveness in producing detailed 3D images, underscoring its potential for wide-ranging uses. Future research will focus on optimizing image quality and automating the imaging process to increase utility and efficiency. This development signifies a step forward in integrating robotics and imaging technology, promising enhanced outcomes in various fields.
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References
Ajman, M.A.A., Abdullah, E.J.: Design of a robotic arm for inspecting curved surface in aerospace non-destructive testing. J. Aeron. Astron. Aviat. 56(1), 501–511 (2024). https://doi.org/10.6125/JoAAA.202403_56(1S).37
Burger, W., Burge, M.J.: Scale-invariant feature transform (SIFT). In: Burger, W., Burge, M.J. (eds.) Digital Image Processing, pp. 609–664. Springer, London (2016). https://doi.org/10.1007/978-1-4471-6684-9_25
Evangelista, D., Terreran, M., Pretto, A., Moro, M., Ferrari, C., Menegatti, E.: 3D mapping of X-ray images in inspections of aerospace parts. In: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), vol. 1, pp. 1223–1226 (2020). https://doi.org/10.1109/ETFA46521.2020.9212135
Great Britain. Health and Safety Executive: Work with ionising radiation: ionising radiations regulations 2017 (2017)
Gu, F., Rzhanov, Y.: Optimal image blending for underwater mosaics. In: OCEANS 2006, pp. 1–5 (2006). https://doi.org/10.1109/OCEANS.2006.307037
Joseph, L., Padois, V., Morel, G.: Towards X-ray medical imaging with robots in the open: safety without compromising performances. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 6604–6610 (2018). https://doi.org/10.1109/ICRA.2018.8460794
Gupta, M., Khan, M.A., Butola, R., Singari, R.M.: Advances in applications of Non-Destructive Testing (NDT): a review. Adv. Mater. Process. Technol. 8(2), 2286–2307 (2022). https://doi.org/10.1080/2374068X.2021.1909332
Ou, X., et al.: Recent Development in X-Ray Imaging Technology: Future and Challenges. Research (2021). https://doi.org/10.34133/2021/9892152
Oyallon, E., Rabin, J.: An analysis of the SURF method. Image Process. Line 5, 176–218 (2015). https://doi.org/10.5201/IPOL.2015.69
Salcudean, S.E., Moradi, H., Black, D.G., Navab, N.: Robot-assisted medical imaging: a review. Proc. IEEE 110(7), 951–967 (2022). https://doi.org/10.1109/JPROC.2022.3162840
Sattar, T.P., Brenner, A.-A.: Robotic system for inspection of test objects with unknown geometry using NDT methods. Ind. Robot. 36(4), 340–343 (2009). https://doi.org/10.1108/01439910910957093
Soloviev, V.Y., Renforth, K.L., Dirckx, C.J., Wells, S.G.: Meshless reconstruction technique for digital tomosynthesis. Phys. Med. Biol. 65(8) (2020). https://doi.org/10.1088/1361-6560/ab7685
Strobel, N., et al.: 3D imaging with flat-detector C-arm systems. In: Reiser, M.F., Becker, C.R., Nikolaou, K., Glazer, G. (eds.) Multislice CT, pp. 33–51. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-33125-4_3
Towsfyan, H., Biguri, A., Boardman, R., Bluemensath, T.: Successes and challenges in non-destructive testing of aircraft composite structures. Chin. J. Aeron. 33(3), 771–791 (2020). https://doi.org/10.1016/j.cja.2019.09.017
Acknowledgment
This work was supported by ATI funding for advanced manufacturing innovation - ATI ROBOT-MOUNTED 3D X-RAY INSPECTION. We express our gratitude to Jamie Rice and Daniel Oakley, Lab Technicians, and James Fowler, Senior Technical Officer at the Intelligent Automation Lab, for their invaluable support and technical expertise, which were essential for the project’s success. We also thank Dr. Charles Antrobus and Jessica Evans from Adaptix for building the systems, and James Whittle and Linde Van Parijs from the Adaptix software team for their contributions.
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Asif, S. et al. (2025). Advancements in 3D X-Ray Imaging: Development and Application of a Twin Robot System. In: Huda, M.N., Wang, M., Kalganova, T. (eds) Towards Autonomous Robotic Systems. TAROS 2024. Lecture Notes in Computer Science(), vol 15051. Springer, Cham. https://doi.org/10.1007/978-3-031-72059-8_36
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