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Adapting Computer Vision Algorithms to Smartphone-based Robot for Education

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

5 Scopus citations

Abstract

Robobo is a smartphone-based educational robot used on multiple education stages. The following paper describes the development and testing of three computer vision algorithms that run natively in Robobo. They perform real-Time object identification, ArUcO marker detection, and lane detection. With them, the students that use the Robobo robot can develop highly realistic projects on mobile robotics. This brings robotics teaching closer to real robotics, where advanced computer vision algorithms are widely used. The characterization of the algorithms that are presented in this document shows that their performance is very high in comparison to implementations that run on a standard computer.

Original languageEnglish
Title of host publication2020 4th International Conference on Multimedia Computing, Networking and Applications, MCNA 2020
EditorsMohammad Alsmirat, Yaser Jararweh, Jaime Lloret, Moayad Aloqaily
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages51-56
Number of pages6
ISBN (Electronic)9781728183732
DOIs
StatePublished - 19 Oct 2020
Event4th International Conference on Multimedia Computing, Networking and Applications, MCNA 2020 - Virtual, Online, Spain
Duration: 19 Oct 202022 Oct 2020

Publication series

Name2020 4th International Conference on Multimedia Computing, Networking and Applications, MCNA 2020

Conference

Conference4th International Conference on Multimedia Computing, Networking and Applications, MCNA 2020
Country/TerritorySpain
CityVirtual, Online
Period19/10/2022/10/20

Keywords

  • Computer Vision
  • Educational Robotics
  • Mobile Robotics
  • Smart-phone

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