CJ: An intelligent robotic head based on deep learning for HRI

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationIEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control
Subtitle of host publicationTowards an Industry 4.0 - Proceedings
EditorsCarlos Munoz, Gaston Lefranc, Mario Fernandez-Fernandez, Ernesto Rubio, Cristian Duran-Faundez
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538655863
DOIs
StatePublished - 10 Jan 2019
EventIEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018 - Greater Concepcion, Chile
Duration: 17 Oct 201819 Oct 2018

Publication series

NameIEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings

Conference

ConferenceIEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018
Country/TerritoryChile
CityGreater Concepcion
Period17/10/1819/10/18

Keywords

  • Convolutional neural network
  • face recognition
  • object recognition
  • service robot
  • transfer learning

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