Giulio is Associate Professor of Medical Imaging for Robotics in the RaM Lab.

His research interests and expertise are in medical imaging and robotics for medical applications. Giulio, closely working with clinicians, aims to develop novel technologies to improve the current medical procedures, including enhanced treatment and diagnosis. His overall objective is providing as much information and support to the surgical team to produce better outcomes, and improve the quality of life of patients.

Giulio received a MSc in Biomedical Engineering in 2007 at the University of Genoa, Italy. He graduated with a PhD in Medical Robotics from the Italian Institute of Technology in 2013, with a dissertation on new technologies for robot-assisted laser microsurgery.

Giulio was postdoc in the Bristol Robotics Laboratory, Bristol, UK (2013-2017) working on robot-assisted fracture surgery (RAFS). In 2017, Giulio joined the Hamlyn Centre, Imperial College London, UK where he and his team developed an MR-safe robotic platform for endovascular intervention.


  • Computer Science

    • Robot
    • Robotics
    • Design
    • Procedures
    • Control
  • Medicine and Dentistry

    • Accuracy
    • Surgery
    • Joint Fracture



Editorial: Translational research in medical robotics-challenges and opportunities, Article 1270823. Dagnino, G., Kundrat, D., Moreira, P., Wurdemann, H. A. & Abayazid, M. Validation of a Novel Robotic Platform for Endovascular Intervention, 1786-1794. Dagnino, G., Kundrat, D., Kwok, T. M. Y., Abdelaziz, M. E. M. K., Chi, W., Nguyen, A., Riga, C. & Yang, G.-Z.
An MR-Safe Endovascular Robotic Platform: Design, Control, and Ex-Vivo Evaluation, 3110-3121. Kundrat, D., Dagnino, G., Kwok, T. M. Y., Abdelaziz, M. E. M. K., Chi, W., Nguyen, A., Riga, C. & Yang, G.-Z. in robotics for combating infectious diseases, Article eabf1462. Gao, A., Murphy, R. R., Chen, W., Dagnino, G., Fischer, P., Gutierrez, M. G., Kundrat, D., Nelson, B. J., Shamsudhin, N., Su, H., Xia, J., Zemmar, A., Zhang, D., Wang, C. & Yang, G.-Z.
Collaborative Robot-Assisted Endovascular Catheterization with Generative Adversarial Imitation LearningIn 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2414-2420). IEEE. Chi, W., Dagnino, G., Kwok, T. M. Y., Nguyen, A., Kundrat, D., Abdelaziz, M. E. M. K., Riga, C., Bicknell, C. & Yang, G.-Z. Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular InterventionIn 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 9967-9973). IEEE. Nguyen, A., Kundrat, D., Dagnino, G., Chi, W., Abdelaziz, M. E. M. K., Guo, Y., Ma, Y., Kwok, T. M. Y., Riga, C. & Yang, G.-z. a Versatile Robotic Platform for Fluoroscopy and MRI-Guided Endovascular Interventions: A Pre-Clinical StudyIn 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Article 8968237 (pp. 5411-5418). IEEE. Abdelaziz, M. E. M. K., Kundrat, D., Pupillo, M., Kwok, T. M. Y., Chi, W., Groenhuis, V., Siepel, F. J., Riga, C., Stramigioli, S., Yang, G.-Z. & Dagnino, G.
Haptic Guidance for Robot-Assisted Endovascular Procedures: Implementation and Evaluation on Surgical SimulatorIn 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Article 8967712 (pp. 5398-5403). IEEE. Molinero, M. B., Dagnino, G., Liu, J., Chi, W., Abdelaziz, M. E. M. K., Kwok, T. M. Y., Riga, C. & Yang, G. Z. and Evaluation of a Percutaneous Fragment Manipulation Device for Minimally Invasive Fracture Surgery, Article 103. Georgilas, I., Dagnino, G., Martins, B. A., Tarassoli, P., Morad, S., Georgilas, K., Koehler, P., Atkins, R. & Dogramadzi, S.

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