Characterization of Real-time Haptic Feedback from Multimodal Neural Network-based Force Estimates during Teleoperation
Author:
Affiliation:
1. Stanford University,Mechanical Engineering Department,CA,USA,94305
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981662.pdf?arnumber=9981662
Reference25 articles.
1. Vision-based force estimation for a da Vinci instrument using deep neural networks;lee,2020
2. A recurrent convolutional neural network approach for sensorless force estimation in robotic surgery
3. Toward Force Estimation in Robot-Assisted Surgery using Deep Learning with Vision and Robot State
4. Sequential Image-Based Attention Network for Inferring Force Estimation Without Haptic Sensor
5. Estimation of Interaction Forces in Robotic Surgery using a Semi-Supervised Deep Neural Network Model
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3. A Neural Network-based Suture-tension Estimation Method Using Spatio-temporal Features of Visual Information and Robot-state Information for Robot-assisted Surgery;International Journal of Control, Automation and Systems;2023-11-03
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