Comparison of Mechanistic and Learning-based Tip Force Estimation on Tendon-driven Soft Robotic Catheters
Author:
Affiliation:
1. Concordia University,Department of Mechanical Engineering,Montreal,QC,CA,H3G 1M8
2. McGill University,Department of Surgery,Montreal,QC,CA,H3G 1A4
Funder
Concordia University, Montreal, QC, Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871562.pdf?arnumber=9871562
Reference19 articles.
1. Estimating contact force for steerable ablation catheters based on shape analysis
2. Learning-Based Modeling of Endovascular Navigation for Collaborative Robotic Catheterization
3. Learning-based endovascular navigation through the use of non-rigid registration for collaborative robotic catheterization
4. Neural network grasping controller for continuum robots;braganza;Proceedings of the 45th IEEE Conference on Decision and Control,0
5. Toward task autonomy in robotic cardiac ablation: Learning-based kinematic control of soft tendon-driven catheters;jolaei;Soft Robotics,2020
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Machine-Learning-Based Multi-Modal Force Estimation for Steerable Ablation Catheters;IEEE Transactions on Medical Robotics and Bionics;2024-08
2. A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going;Biomedical Signal Processing and Control;2024-07
3. Embedded Six-DoF Force–Torque Sensor for Soft Robots With Learning-Based Calibration;IEEE Sensors Journal;2023-02-15
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