Sight to touch: 3D diffeomorphic deformation recovery with mixture components for perceiving forces in robotic-assisted surgery

Author:

Aviles Angelica I.,Alsaleh Samar M.,Casals Alicia

Publisher

IEEE

Cited by 4 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. Motion Planning for Cutting Flexible Objects Based on Contact State Recognition;IEEJ Journal of Industry Applications;2023-07-01

2. Occlusion-robust scene flow-based tissue deformation recovery incorporating a mesh optimization model;International Journal of Computer Assisted Radiology and Surgery;2023-04-17

3. Research on Manipulation of Soft Tissue Based on 3D Vision*;2022 IEEE International Conference on Cyborg and Bionic Systems (CBS);2023-03-24

4. Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks;Lecture Notes in Computer Science;2018

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