Affordable Remote Platform for Robotics Learning in Engineering Courses

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Robotics teaching in universities has faced important challenges, such as continuous technology evolution and overcrowded institutions, causing pressure on them to continuously reinvest in expensive resources. Over time, new paradigms based on remote and virtual laboratories, allowing to share resources, have been adopted to address these problems. But these approaches lose their efficacy when equipment reached obsolescence. One way to address this problem would rely on an approach, which could enable reusing existing robotics equipment, aiding it with new functionalities. This could be done by developing a remote laboratory platform with the ability to regenerate the functionality of existing robots. Using this strategy, robotics resources can be combined with software components that allow their enhancement with more sophisticated functionality. With this platform, students can use the equipment with new features. Institutions will suffer less pressure to invest in their replacement, allowing them to plan their budget as the curricula are modified to meet the needs of industry and services.

Original languageEnglish
Title of host publicationProceedings: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
Pages6789-6794
Number of pages6
ISBN (Electronic)9781728148786
DOIs
Publication statusPublished - Oct 2019
Event45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 - Lisbon, Portugal
Duration: 14 Oct 201917 Oct 2019

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
PublisherIEEE Computer Society
Volume2019-October

Conference

Conference45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019
CountryPortugal
CityLisbon
Period14/10/1917/10/19

Keywords

  • Inclusive Education
  • Remote Laboratories
  • Robotics Learning

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