A deep-neuro-fuzzy approach for estimating the interaction forces in robotic surgery

2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

Volumn , Issue , 2016, Pages 1113-1119

  Aviles, Angelica I ^a   Alsaleh, Samar M ^b   Montseny, Eduard ^a   Sobrevilla, Pilar ^a   Casals, Alicia ^c  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b The George Washington University   (United States)

^c INSTITUTE FOR BIOENGINEERING OF CATALONIA IBEC   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; ROBOTICS;

DEEP LEARNING; FORCE ESTIMATION; INTERACTION FORCES; MINIMALLY INVASIVE; NEURO-FUZZY APPROACH; NEUROFUZZY SYSTEM; STATE-OF-THE-ART APPROACH; VAGUENESS AND UNCERTAINTY;

ROBOTIC SURGERY;

EID: 85006725481     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZ-IEEE.2016.7737812     Document Type: Conference Paper

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