Model-based systems engineering to design collaborative robotics applications

Carlos Hernandez, Jose Luis Fernandez-Sanchez

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
117 Downloads (Pure)

Abstract

Novel robot technologies are becoming available to automate more complex tasks, more flexibly, and collaborating with humans. Methods and tools are needed in the automation and robotics industry to develop and integrate this new breed of robotic systems. In this paper, the ISE&PPOOA methodology for Model-Based Systems Engineering is applied for the development of robotic systems. The methodology is described through its application to reengineer a state-of-the-art collaborative robot application. The challenges that robotic systems present to model-based systems engineering are discussed, together with the benefits of MBSE methodologies.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Symposium on Systems Engineering (ISSE 2017)
EditorsBob Rassa, Paolo Carbone
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-5386-3403-5
DOIs
Publication statusPublished - 2017
EventISSE 2017: 3rd Annual IEEE International Symposium on Systems Engineering - Vienna, Austria
Duration: 11 Oct 201713 Oct 2017
Conference number: 3

Conference

ConferenceISSE 2017: 3rd Annual IEEE International Symposium on Systems Engineering
CountryAustria
CityVienna
Period11/10/1713/10/17

Keywords

  • Service robots
  • Collaboration
  • Safety
  • Systems engineering and theory
  • Collision avoidance
  • Computer architecture

Fingerprint Dive into the research topics of 'Model-based systems engineering to design collaborative robotics applications'. Together they form a unique fingerprint.

Cite this