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IEEE Robotics & Automation Magazine

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Augmented Reality and Human–Robot Collaboration Framework for Percutaneous Nephrolithotomy: System Design, Implementation, and Performance Metrics

September 16, 2024 by Junling Fu, Matteo Pecorella, Elisa Iovene, Maria Chiara Palumbo, Alberto Rota, Alberto Redaelli, Giancarlo Ferrigno, Elena De Momi

During percutaneous nephrolithotomy (PCNL) operations, the surgeon is required to define the incision point on the patient’s back, align the needle to a preplanned path, and perform puncture operations afterward. The procedure is currently performed manually using ultrasound or fluoroscopy imaging for needle orientation, which, however, implies limited accuracy and low reproducibility. This work incorporates augmented reality (AR) visualization with an optical see-through head-mounted display (OST-HMD) and human–robot collaboration (HRC) framework to empower the surgeon’s task completion performance. In detail, eye-to-hand calibration, system registration, and hologram model registration are performed to realize visual guidance.

For more about this article see link below.

https://ieeexplore.ieee.org/document/10438430

For the open access PDF link of this article please click here.

Filed Under: Past Features Tagged With: Collaborative Framework, Collision-free Path, Experimental Setup, Hologram, Holographic Model, Human Operator, Human-robot Collaboration, Humanrobot Collaboration Framework, Intuitive Visualization, Kidney Stones, Low Reproducibility, Median Error, National Aeronautics, Needle Insertion, Optical Tracking System, Percutaneous Nephrolithotomy, Performance Metrics, Phantom Model, Robotic Assistance, Significant Potential For Applications, Singular Value Decomposition Algorithm, Surgeons, Task Completion, Task Execution, Transformation Matrix, Translation Error, Ultrasound Imaging, Usability Evaluation, Visual Guidance, Visual Interface

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As the flagship magazine of the IEEE Robotics and Automation Society, IEEE Robotics and Automation Magazine (RAM) covers the latest developments in robotics and automation. Its scope ranges from cutting-edge technological advances to emerging social, economic, ethical, and policy issues shaping the field.  Published quarterly (March, June, September, and December), RAM features both high-impact original research articles written in an engaging and accessible style, as well as reviews, columns and opinion pieces addressing a wide range of timely topics.

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IEEE Robotics & Automation Magazine  publishes four issues per year: March, June, September and December.