Model-based systems engineering to design collaborative robotics applications

Carlos Hernandez; Jose Luis Fernandez-Sanchez

doi:10.1109/SysEng.2017.8088258

Model-based systems engineering to design collaborative robotics applications

Carlos Hernandez, Jose Luis Fernandez-Sanchez

Robot Dynamics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

6 Citations (Scopus)

408 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 language	English
Title of host publication	Proceedings of the 2017 IEEE International Symposium on Systems Engineering (ISSE 2017)
Editors	Bob Rassa, Paolo Carbone
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-5386-3403-5
DOIs	https://doi.org/10.1109/SysEng.2017.8088258
Publication status	Published - 2017
Event	ISSE 2017: 3rd Annual IEEE International Symposium on Systems Engineering - Vienna, Austria Duration: 11 Oct 2017 → 13 Oct 2017 Conference number: 3

Conference

Conference	ISSE 2017: 3rd Annual IEEE International Symposium on Systems Engineering
Country/Territory	Austria
City	Vienna
Period	11/10/17 → 13/10/17

Bibliographical note

Accepted Author Manuscript

Keywords

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

Access to Document

10.1109/SysEng.2017.8088258

hernandez_isse2017_post-printAccepted author manuscript, 4.43 MB

Cite this

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title = "Model-based systems engineering to design collaborative robotics applications",

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.",

keywords = "Service robots, Collaboration, Safety, Systems engineering and theory, Collision avoidance, Computer architecture",

author = "Carlos Hernandez and Fernandez-Sanchez, {Jose Luis}",

note = "Accepted Author Manuscript; ISSE 2017: 3rd Annual IEEE International Symposium on Systems Engineering ; Conference date: 11-10-2017 Through 13-10-2017",

year = "2017",

doi = "10.1109/SysEng.2017.8088258",

language = "English",

editor = "Bob Rassa and Paolo Carbone",

booktitle = "Proceedings of the 2017 IEEE International Symposium on Systems Engineering (ISSE 2017)",

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}

Hernandez, C & Fernandez-Sanchez, JL 2017, Model-based systems engineering to design collaborative robotics applications. in B Rassa & P Carbone (eds), Proceedings of the 2017 IEEE International Symposium on Systems Engineering (ISSE 2017)., 8088258, IEEE, Piscataway, NJ, USA, ISSE 2017: 3rd Annual IEEE International Symposium on Systems Engineering, Vienna, Austria, 11/10/17. https://doi.org/10.1109/SysEng.2017.8088258

Model-based systems engineering to design collaborative robotics applications. / Hernandez, Carlos; Fernandez-Sanchez, Jose Luis.
Proceedings of the 2017 IEEE International Symposium on Systems Engineering (ISSE 2017). ed. / Bob Rassa; Paolo Carbone. Piscataway, NJ, USA: IEEE, 2017. 8088258.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Model-based systems engineering to design collaborative robotics applications

AU - Hernandez, Carlos

AU - Fernandez-Sanchez, Jose Luis

N1 - Conference code: 3

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Service robots

KW - Collaboration

KW - Safety

KW - Systems engineering and theory

KW - Collision avoidance

KW - Computer architecture

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DO - 10.1109/SysEng.2017.8088258

M3 - Conference contribution

BT - Proceedings of the 2017 IEEE International Symposium on Systems Engineering (ISSE 2017)

A2 - Rassa, Bob

A2 - Carbone, Paolo

PB - IEEE

CY - Piscataway, NJ, USA

T2 - ISSE 2017: 3rd Annual IEEE International Symposium on Systems Engineering

Y2 - 11 October 2017 through 13 October 2017

ER -

Model-based systems engineering to design collaborative robotics applications

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Cite this