Image-based force estimation in medical applications: A review

AA Nazari, F Janabi-Sharifi, K Zareinia - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Minimally invasive robotic interventions have highlighted the need to develop efficient
techniques to measure forces applied to the soft tissues. Since the last decade, many …

FEAR: Fast, efficient, accurate and robust visual tracker

V Borsuk, R Vei, O Kupyn, T Martyniuk… - … on Computer Vision, 2022 - Springer
We present FEAR, a family of f ast, e fficient, a ccurate, and r obust Siamese visual trackers.
We present a novel and efficient way to benefit from dual-template representation for object …

Toward force estimation in robot-assisted surgery using deep learning with vision and robot state

Z Chua, AM Jarc, AM Okamura - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
Knowledge of interaction forces during teleoperated robot-assisted surgery could be used to
enable force feedback to users and evaluate tissue handling skill. However, direct force …

Learning to estimate palpation forces in robotic surgery from visual-inertial data

YE Lee, HM Husin, MP Forte, SW Lee… - … on Medical Robotics …, 2023 - ieeexplore.ieee.org
Surgeons cannot directly touch the patient's tissue in robot-assisted minimally invasive
procedures. Instead, they must palpate using instruments inserted into the body through …

Vision-based suture tensile force estimation in robotic surgery

WJ Jung, KS Kwak, SC Lim - Sensors, 2020 - mdpi.com
Compared to laparoscopy, robotics-assisted minimally invasive surgery has the problem of
an absence of force feedback, which is important to prevent a breakage of the suture. To …

A Neural Network-based Suture-tension Estimation Method Using Spatio-temporal Features of Visual Information and Robot-state Information for Robot-assisted …

DH Lee, KS Kwak, SC Lim - … Journal of Control, Automation and Systems, 2023 - Springer
In robot-assisted minimally invasive surgery, there is a risk of skin tissue damage or suture
failure at the suture site owing to incomplete tension. To avoid these problems and improve …

Generation of tactile data from 3D vision and target robotic grasps

BS Zapata-Impata, P Gil, Y Mezouar… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Tactile perception is a rich source of information for robotic grasping: it allows a robot to
identify a grasped object and assess the stability of a grasp, among other things. However …

Characterization of real-time haptic feedback from multimodal neural network-based force estimates during teleoperation

Z Chua, AM Okamura - 2022 IEEE/RSJ International …, 2022 - ieeexplore.ieee.org
Force estimation using neural networks is a promising approach to enable haptic feedback
in minimally invasive surgical robots without end-effector force sensors. Various network …

Cross-Modal Reconstruction for Tactile Signal in Human–Robot Interaction

M Chen, Y Xie - Sensors, 2022 - mdpi.com
A human can infer the magnitude of interaction force solely based on visual information
because of prior knowledge in human–robot interaction (HRI). A method of reconstructing …

Force Distribution Sensor Based on Externally Observable Three-Dimensional Shape Deformation Information

R Ikeya, Y Nishida - IEEE Sensors Letters, 2024 - ieeexplore.ieee.org
Recent developments in segmentation and inexpensive RGBD cameras make it possible to
easily perform object shape extraction. This enables a new principle for externally …