A survey on force sensing techniques in robot-assisted minimally invasive surgery

W Wang, J Wang, Y Luo, X Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Minimally invasive surgery (MIS) is commonly used in some robotic-assisted surgery (RAS)
systems. However, many RAS lack the strength and tactile sensation of surgical tools …

[HTML][HTML] Exploring the evolution of robotic surgery in obstetrics and gynecology: past, present, and future perspectives

P Yadav, K Chaudhari, A Dave, A Sindhu - Cureus, 2024 - ncbi.nlm.nih.gov
Robotic surgery has emerged as a transformative technology in obstetrics and gynecology,
offering enhanced precision and minimally invasive techniques for various procedures. This …

Transfer of learned dynamics between different surgical robots and operative configurations

N Yilmaz, J Zhang, P Kazanzides… - International Journal of …, 2022 - Springer
Abstract Purpose Using the da Vinci Research Kit (dVRK), we propose and experimentally
demonstrate transfer learning (Xfer) of dynamics between different configurations and robots …

A Hybrid Model and Learning-Based Force Estimation Framework for Surgical Robots

H Yang, H Zhou, GS Fischer… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
Haptic feedback to the surgeon during robotic surgery would enable safer and more
immersive surgeries but estimating tissue interaction forces at the tips of robotically …

Learning soft-tissue simulation from models and observation

JY Wu, A Munawar, M Unberath… - … on Medical Robotics …, 2021 - ieeexplore.ieee.org
Accurate soft-tissue simulation using biomechanical models is computationally expensive.
This is unfortunate because accurate biomechanical models could model tool-tissue …

Enhancing robotic telesurgery with sensorless haptic feedback

N Yilmaz, B Burkhart, A Deguet, P Kazanzides… - International Journal of …, 2024 - Springer
Purpose This paper evaluates user performance in telesurgical tasks with the da Vinci
Research Kit (dVRK), comparing unilateral teleoperation, bilateral teleoperation with force …

An Effectiveness Study Across Baseline and Neural Network-based Force Estimation Methods on the da Vinci Research Kit Si System

H Yang, A Acar, K Xu, A Deguet, P Kazanzides… - arXiv preprint arXiv …, 2024 - arxiv.org
In this study, we further investigate the robustness and generalization ability of an neural
network (NN) based force estimation method, using the da Vinci Research Kit Si (dVRK-Si) …

Neural network based patient recovery estimation of a PAM-based rehabilitation robot

VV Dinh, MC Trinh, TD Bui, MD Duong, QT Dao - Acta Polytechnica, 2023 - ojs.cvut.cz
Rehabilitation robots have shown a promise in aiding patient recovery by supporting them in
repetitive, systematic training sessions. A critical factor in the success of such training is the …

Learning-Based Frameworks for Estimating Force Information in Robot Manipulation and Motion Control

L Zizhou - 2023 - search.proquest.com
In the realm of robot manipulation and motion control, the ability to infer force information
plays a crucial role in facilitating successful interactions between robots and their …

[PDF][PDF] Using High-Level Processing of Low-Level Signals to Actively Assist Surgeons with Intelligent Surgical Robots

JY Wu - 2021 - jscholarship.library.jhu.edu
Robotic surgical systems are increasingly used for minimally-invasive surgeries. As such,
there is opportunity for these systems to fundamentally change the way surgeries are …