Investigating the influence of dimensionality reduction on force estimation in robotic-assisted surgery using recurrent and convolutional networks-Reference-Cited by-同舟云学术

Investigating the influence of dimensionality reduction on force estimation in robotic-assisted surgery using recurrent and convolutional networks

Author:

Sabique P.V.^ORCID,Pasupathy Ganesh^ORCID,Ramachandran Sivaramakrishnan^ORCID,Shanmugasundar G.^ORCID

Funder

Indian Institute of Technology Madras

Anna University

University Grants Commission

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference52 articles.

2. Exploring the Effects of Dimensionality Reduction in Deep Networks for Force Estimation in Robotic-Assisted Surgery;Angelica,2016

3. A recurrent neural network approach for 3D vision-based force estimation;Aviles,2014

4. Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery;Aviles,2015

5. Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery;Aviles,2015

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