ArticleIEEE transactions on medical robotics and bionics2025
Design and Validation of a Compact Concentric-Tube Robot for Percutaneous Nephrolithotomy.
Article in IEEE transactions on medical robotics and bionics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Few-Shot Physics-Informed Neural Network for Shape Reconstruction of Concentric-Tube Robots.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2026Article
- [Collaborative motion control method for dual-arm surgical robots based on hybrid multi-stage optimization].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Article
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Authors and funding
6 authors.
Funding
Abstract
Concentric-tube robots (CTRs) have garnered significant attention in various minimally invasive procedures due to their small size and dexterity. Despite extensive technical advancements in the development of CTRs, there is a lack of design approaches specific to their function as surgical instruments. This study proposes a compact CTR specifically designed for percutaneous nephrolithotomy (PCNL), adaptable for both hand-held operation and mounting on a passive arm. We employ a parallel carriage-based design to reduce the device's cross-sectional footprint (46 mm diameter, 322 mm length) and localize the center of mass (570 g mass) beneath the grip area, enhancing ergonomic comfort and control. An ergonomic evaluation of the robot during the handling of the robot by expert urologists, as well as non-clinicians, showed better ergonomics than standard hand-held PCNL devices. Additionally, closed-loop position control of the distal end of the CTR was implemented based on resolved-motion rate inverse kinematics. The performance of the robot was empirically validated through experiments on a life-size abdominal phantom. The results showed mean closed-loop position errors of 1.2±0.8 mm for autonomous navigation to 100 target points on the stone, indicating a performance level in line with the specific requirements of PCNL.
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Registered trials
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