Machine Learning-Based Indirect Tip Force Sensing and Estimation for Robotic Uterine Manipulation System
Robotic-assisted Minimally Invasive Surgery (RMIS) has advanced laparoscopic gynecological procedures by improving precision and reducing invasiveness. However, the lack of direct force sensing during uterine manipulation remains a challenge, potentially increasing the risk of tissue damage and comp...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11113324/ |
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