Now showing items 1-3 of 3

  • A recurrent convolutional neural network approach for sensorless force estimation in robotic surgery 

    Marbán González, Arturo; Srinivasan, Vignesh; Samek, Wojciech; Fernández Ruzafa, José; Casals Gelpi, Alicia (2019-04)
    Article
    Restricted access - publisher's policy
    Providing force feedback as relevant information in current Robot-Assisted Minimally Invasive Surgery systems constitutes a technological challenge due to the constraints imposed by the surgical environment. In this context, ...
  • Estimating position & velocity in 3D space from monocular video sequences using a deep neural network 

    Marbán González, Arturo; Srinivasan, Vignesh; Samek, Wojciech; Fernández Ruzafa, José; Casals Gelpi, Alicia (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    This work describes a regression model based on Convolutional Neural Networks (CNN) and Long-Short Term Memory (LSTM) networks for tracking objects from monocular video sequences. The target application being pursued is ...
  • Estimation of interaction forces in robotic surgery using a semi-supervised deep neural network model 

    Marbán González, Arturo; Srinivasan, Vignesh; Samek, Wojciech; Fernández Ruzafa, José; Casals Gelpi, Alicia (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    Providing force feedback as a feature in current Robot-Assisted Minimally Invasive Surgery systems still remains a challenge. In recent years, Vision-Based Force Sensing (VBFS) has emerged as a promising approach to address ...