A Skill-based Robot Co-worker for Industrial Maintenance Tasks

Paul Jacob Koch, Marike Koch van den Broek, Patrycja Dębska, Moritz Alexander Thormann, Adrian Johannes Tetzlaff, Simon Bøgh, Dimitrios Chrysostomou

Research output: Contribution to journalConference article in JournalResearchpeer-review

54 Citations (Scopus)
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Abstract

This paper investigates the concept of a sensor based robot co-worker working in flexible industrial environments together with and alongside human operators. In this particular work, a realisation of a robot co-worker scenario is developed in order to demonstrate the implementation of a robot co-worker from the starting point of an autonomous industrial mobile manipulator. The cobot is applied on the industrially relevant task of screwing by the use of a skill-based approach. The technical work on the human-robot interface and the screwing skill is described.
Original languageEnglish
JournalProcedia Manufacturing
Volume11
Pages (from-to)83-90
Number of pages7
ISSN2351-9789
DOIs
Publication statusPublished - 19 Sept 2017
EventFAIM 2017 - 27th International Conference on Flexible Automation and Intelligent Manufacturing: Intelligent Manufacturing and Engineering Methods for Industry 4.0 - Complesso San Geminiano, University of Modena and Reggio Emilia, Modena, Italy
Duration: 27 Jun 201730 Jun 2017
Conference number: 27
http://www.faim2017.org/

Conference

ConferenceFAIM 2017 - 27th International Conference on Flexible Automation and Intelligent Manufacturing
Number27
LocationComplesso San Geminiano, University of Modena and Reggio Emilia
Country/TerritoryItaly
CityModena
Period27/06/201730/06/2017
Internet address

Keywords

  • Collaborative Robot
  • Skill-based Programing
  • Maintenance task
  • Screwing operation
  • Intelligent manufacturing
  • industry 4.0

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