REDIT
REDIT: Robot-assisted Remote Echography for Diagnosis and Treatment
The project integrates advanced Augmented Reality interfaces, robotic ultrasound platforms and AI-driven frameworks for real-time lesion and instrument detection and tracking, enabling ultrasound specialists to conduct remote diagnosis and seamlessly support image-guided surgical interventions with enhanced precision, situational awareness and clinical efficiency.
(1) Augmented Reality: Deliver an intuitive augmented-reality interface with digital-twin integration, enabling human-in-the-loop control and enhanced situational awareness for the local operator.
(2) Robotic Ultrasound: Deploy a robotic ultrasound platform to enhance image acquisition, optimizing accuracy, repeatability and overall task-completion efficiency in remote examinations.
(3) Surgical Interventions: Develop a robotic ultrasound-guided assistance system to support clinicians during minimally invasive procedures, for example, biopsies or tissue ablation.
PEOPLE
PARTNER
Politecnico di Milano (Milan, IT)
University of Pisa
This work was funded by the project “THE – Tuscany Health Ecosystem, as part of the NextGeneration EU program, specifically through Spoke 9, “Robotics and Automation for Health”.
PUBLICATIONS
[1] Junling Fu, Zijian Cai, Runing Xiao, Giancarlo Ferrigno, Alberto Redaelli, Elena De Momi. Learning-based Hybrid Needle Tip Tracking and Visualization Framework for Robotic Ultrasound-guided Interventions. IEEE Transactions on Medical Robotics and Bionics. 2026.
[2] Junling Fu, Giorgia Maimone, Elisa Iovene, Jianzhuang Zhao, Alberto Redaelli, Giancarlo Ferrigno, and Elena De Momi. Human-Inspired Active Compliant and Passive Shared Control Framework for Robotic Contact-Rich Tasks in Medical Applications. IEEE Transactions on Robotics, vol. 41, pp. 2549-2568, 2025.
[3] Bo Wang, Junling Fu, Giancarlo Ferrigno, and Elena De Momi. Quality-Driven Adaptive Control Framework for Robotic Ultrasound Imaging of Vascular Anatomies Conference: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.
[4] Junling Fu, Andrea Repetto, Zijian Cai, Veronica Ruozzi, Elisa Iovene, Bo Wang, Runing Xiao, Alberto Redaelli, and Elena De Momi. Towards Robot-assisted Remote Echography: Preliminary Results on Region-specified Trajectory Generation and Compliant Control. The 17th Hamlyn Symposium on Medical Robotics, London, UK, 2025.
[5] Junling Fu, Afshin Karimi Dastjerdi, Matteo Di Mauro, Alessandro Albanesi, Alberto Redaelli, Tommaso Scquizzato, and Elena De Momi. Development of an Augmented Reality-based Framework for Robot-assisted Medical Contact-Rich Tasks. The Italian Institute of Robotics and Intelligent Machines (I-RIM), Rome, 2025.