A data driven recurrent neural network approach for reproduction of variable visuo-haptic force feedback in surgical tool insertion

Author:

Sabique P.V.,Pasupathy GaneshORCID,Ramachandran SivaramakrishnanORCID

Funder

Indian Institute of Technology Madras

Anna University

University Grants Commission

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference70 articles.

1. Estimation of tool-tissue forces in robot-assisted minimally invasive surgery using neural networks [Original Research];Abeywardena;Frontiers in Robotics and AI,2019

2. Angelica, I. A., Samar, M. A., Eduard, M., & Alicia, C. (2015, 2015/06). V-ANFIS for Dealing with Visual Uncertainty for Force Estimation in Robotic Surgery. Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology,.

3. Towards retrieving force feedback in robotic-assisted surgery: A supervised neuro-recurrent-vision approach;Aviles;IEEE Transactions on Haptics,2017

4. Aviles, A. I., & Casals, A. (2014, 2014//). Interpolation Based Deformation Model for Minimally Invasive Beating Heart Surgery. XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, Cham.

5. Aviles, A. I., Marban, A., Sobrevilla, P., Fernandez, J., & Casals, A. (2014, 14-17 Oct. 2014). A recurrent neural network approach for 3D vision-based force estimation. 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA),.

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