Cloud-based learning for robot control

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Abstract

This paper introduces the Virtual Manufacturing Platform (VMP), a cloud-complete educational platform targeting manufacturing industries providing tutorials and sandboxing. The scope of this paper focuses on the robot control architecture of the platform which allows for seamless control of both virtual and physical robots and end-effectors accompanied by supportive educational materials. The platform seeks to derisk automation investments for small to medium enterprises by offering confirmatory environments and knowledge transfer opportunities.
Original languageEnglish
Title of host publicationProceedings of 2023 IEEE International Conference on Industrial Technology (ICIT)
PublisherIEEE
Number of pages4
ISBN (Electronic)979-8-3503-3650-4
ISBN (Print)979-8-3503-3651-1
DOIs
Publication statusPublished online - 9 Jun 2023
EventInternational Conference on Industrial Technology - Florida, Orlando, United States
Duration: 4 Apr 20236 Apr 2023
http://icit2023.ieee-ies.org/

Publication series

Name
ISSN (Print)2641-0184
ISSN (Electronic)2643-2978

Conference

ConferenceInternational Conference on Industrial Technology
Abbreviated titleICIT
Country/TerritoryUnited States
CityOrlando
Period4/04/236/04/23
Internet address

Bibliographical note

Funding Information:
The authors would like to acknowledge the support of Innovate UK. This work is supported by the Smart Manufacturing Data Hub project (contract no. 10017032) – www.smdh.uk.

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Robotics
  • Automation
  • Control
  • Manufacturing industries
  • Cloud computing
  • Service robots
  • Robot controls
  • tutorials
  • End effectors
  • automation
  • robotics
  • control

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