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Applied Sciences (Switzerland)Volume 12, Issue 3, February-1 2022, Article number 1228

Implementation of Robots Integration in Scaled Laboratory Environment for Factory Automation(Article)(Open Access)

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  • aThe Institute for Artificial Intelligence Research and Development of Serbia, Novi Sad, 21000, Serbia
  • bFaculty of Technical Sciences, University of Novi Sad, Novi Sad, 21000, Serbia
  • cSchool of Engineering and Architecture, SRH University of Applied Sciences Heidelberg, Heidelberg, 69123, Germany

Abstract

Robotic systems for research and development of factory automation are complex and unavailable for broad deployment in robotic laboratory settings. The usual robotic factory automation setup consists of series of sensors, robotic arms and mobile robots integrated and orchestrated by a central information system. Cloud-based integration has been gaining traction in recent years. In order to build such a system in a laboratory environment, there are several practical challenges that have to be resolved to come to a point when such a system can become operational. In this paper, we present the development of one such system composed of (i) a cloud-based system built on top of open platform for innovation in logistics, (ii) a prototyped mobile robot with a forklift to manipulate pallets in a “factory” floor, and (iii) industrial robot ABB IRB 140 with a customized gripper and various sensors. A mobile robot is designed as an autonomous four Mecanum wheels system with on-board LiDAR and RGB-D sensor for simultaneous localization and mapping. The paper shows a use case of the overall system and highlights the advantages of having a laboratory setting with real robots for the research of factory automation in a laboratory environment. Moreover, the proposed solution could be scaled and replicated in real factory automation applications. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Author keywords

Cloud roboticsFactory automationMulti-robot system
  • ISSN: 20763417
  • Source Type: Journal
  • Original language: English
  • DOI: 10.3390/app12031228
  • Document Type: Article
  • Publisher: MDPI

  Raković, M.; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia;
© Copyright 2022 Elsevier B.V., All rights reserved.

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