TY - GEN
T1 - CJ
T2 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018
AU - Aravena, Nicolas Carpio
AU - Hermosilla, Gabriel
AU - Vera, Esteban
AU - Farias, Gonzalo
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - The aim of this article is the design and construction of a robotic head intended for classification and recognition applications using algorithms based on Deep Learning. The robotic head works by performing a classification on a number of 1000 different objects thanks to the use of a convolutional neural network (CNN) trained with ImageNet. On the other hand, applying the transfer learning technique in a CNN, allows the recognition of faces on a database of 185 people. The robotic structure also has a voice recognition system, which allows the user to interact with the robot using different voice commands. The construction of the structure is mainly divided into 3D printed components, servomotors, and an Arduino UNO microcontroller, which oversees all the movement that the structure performs.
AB - The aim of this article is the design and construction of a robotic head intended for classification and recognition applications using algorithms based on Deep Learning. The robotic head works by performing a classification on a number of 1000 different objects thanks to the use of a convolutional neural network (CNN) trained with ImageNet. On the other hand, applying the transfer learning technique in a CNN, allows the recognition of faces on a database of 185 people. The robotic structure also has a voice recognition system, which allows the user to interact with the robot using different voice commands. The construction of the structure is mainly divided into 3D printed components, servomotors, and an Arduino UNO microcontroller, which oversees all the movement that the structure performs.
KW - Convolutional neural network
KW - face recognition
KW - object recognition
KW - service robot
KW - transfer learning
UR - http://www.scopus.com/inward/record.url?scp=85062178765&partnerID=8YFLogxK
U2 - 10.1109/ICA-ACCA.2018.8609777
DO - 10.1109/ICA-ACCA.2018.8609777
M3 - Conference contribution
AN - SCOPUS:85062178765
T3 - IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings
BT - IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control
A2 - Duran-Faundez, Cristian
A2 - Lefranc, Gaston
A2 - Fernandez-Fernandez, Mario
A2 - Munoz, Carlos
A2 - Rubio, Ernesto
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 October 2018 through 19 October 2018
ER -