Browsing by Author "Marbán González, Arturo"

Now showing items 1-5 of 5

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

      Marbán González, Arturo; Srinivasan, Vignesh; Samek, Wojciech; Fernández Ruzafa, José; Casals Gelpí, Alicia (2019-04)
      Article
      Open Access
      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, ...

    • A recurrent neural network approach for 3d vision-based force estimation 

      Avilés Rivero, Angélica Ivone; Marbán González, Arturo; Sobrevilla Frisón, Pilar; Casals Gelpí, Alicia; Fernández Ruzafa, José (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Conference report
      Restricted access - publisher's policy
      Robotic-assisted minimally invasive surgery has demonstrated its benefits in comparison with traditional procedures. However, one of the major drawbacks of current robotic system approaches is the lack of force feedback. ...

    • 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 Gelpí, 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 Gelpí, 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 ...

    • Vision based sensor substitution in robotic assisted surgery 

      Marbán González, Arturo (Universitat Politècnica de Catalunya, 2018-02-12)
      Doctoral thesis
      Open Access
      Perceiving and understanding the world represents a long-term goal in the field of Artificial Intelligence (AI). In recent years, advances in the field of Machine Learning (ML), and specifically in Deep Learning (DL), have ...