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Towards retrieving force feedback in robotic-assisted surgery: a supervised neuro-recurrent-vision approach

Autor
Aviles, A.; Alsaleh, S.; Hahn, J.; Casals, A.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on haptics
Data de publicació
2017-07-01
Volum
10
Número
3
Pàgina inicial
431
Pàgina final
443
DOI
https://doi.org/10.1109/TOH.2016.2640289 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/114921 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/document/7784717/ Obrir en finestra nova
Resum
Robotic-assisted minimally invasive surgeries have gained a lot of popularity over conventional procedures as they offer many benefits to both surgeons and patients. Nonetheless, they still suffer from some limitations that affect their outcome. One of them is the lack of force feedback which restricts the surgeon's sense of touch and might reduce precision during a procedure. To overcome this limitation, we propose a novel force estimation approach that combines a vision based solution with sup...
Citació
Avilés, A., Alsaleh, S., Hahn, J., Casals, A. Towards retrieving force feedback in robotic-assisted surgery: a supervised neuro-recurrent-vision approach. "IEEE transactions on haptics", 1 Juliol 2017, vol. 10, núm. 3, p. 431-443.
Paraules clau
Computer-assisted surgery, Deep networks, Force estimation, Visual deformation
Grup de recerca
CREB - Centre de Recerca en Enginyeria Biomedica
GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes

Participants

  • Aviles Rivero, Angelica Ivone  (autor)
  • Alsaleh, Samar M.  (autor)
  • Hahn, James K.  (autor)
  • Casals Gelpi, Alicia  (autor)

Arxius