RoboMAX: Robotic Mission Adaptation eXemplars

Mehrnoosh Askarpour; Christos Tsigkanos; Claudio Menghi; Radu Calinescu; Patrizio Pelliccione; Sergio García; Ricardo Caldas; Tim von Oertzen; Manuel Wimmer; Luca Berardinelli; Matteo Rossi; Marcello M. Bersani; Gabriel S. Rodrigues

doi:10.1109/SEAMS51251.2021.00040

RoboMAX: Robotic Mission Adaptation eXemplars

Mehrnoosh Askarpour, Christos Tsigkanos, Claudio Menghi, Radu Calinescu, Patrizio Pelliccione, Sergio García, Ricardo Caldas, Tim von Oertzen, Manuel Wimmer, Luca Berardinelli, Matteo Rossi, Marcello M. Bersani, Gabriel S. Rodrigues

Institute of Business Informatics - Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Emerging and future applications of robotic systems pose unique self-adaptation challenges. To support the research needed to address these challenges, we provide an extensible repository of robotic mission adaptation exemplars. Co-designed with robotic application stakeholders including researchers, developers, operators, and end-users, our repository captures key sources of uncertainty, adaptation concerns, and other distinguishing characteristics of such applications. An online form enables external parties to supply new exemplars for curation and inclusion into the repository. We envisage that our RoboMAX repository will enable the development, evaluation, and comparison of self-adaptation approaches for the robotic systems domain.

Original language	English
Title of host publication	2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), May 18-24, 2021, virtual
Editors	IEEE
Pages	245-251
Number of pages	7
DOIs	https://doi.org/10.1109/SEAMS51251.2021.00040
Publication status	Published - May 2021

Fields of science

202017 Embedded systems
102002 Augmented reality
102006 Computer supported cooperative work (CSCW)
102015 Information systems
102020 Medical informatics
102022 Software development
102034 Cyber-physical systems
201132 Computational engineering
201305 Traffic engineering
207409 Navigation systems
502032 Quality management
502050 Business informatics
503015 Subject didactics of technical sciences

JKU Focus areas

Digital Transformation

Access to Document

10.1109/SEAMS51251.2021.00040

Cite this

Askarpour, M., Tsigkanos, C., Menghi, C., Calinescu, R., Pelliccione, P., García, S., Caldas, R., von Oertzen, T., Wimmer, M., Berardinelli, L., Rossi, M., Bersani, M. M., & Rodrigues, G. S. (2021). RoboMAX: Robotic Mission Adaptation eXemplars. In IEEE (Ed.), 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), May 18-24, 2021, virtual (pp. 245-251). Article 9462005 https://doi.org/10.1109/SEAMS51251.2021.00040

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title = "RoboMAX: Robotic Mission Adaptation eXemplars",

abstract = "Emerging and future applications of robotic systems pose unique self-adaptation challenges. To support the research needed to address these challenges, we provide an extensible repository of robotic mission adaptation exemplars. Co-designed with robotic application stakeholders including researchers, developers, operators, and end-users, our repository captures key sources of uncertainty, adaptation concerns, and other distinguishing characteristics of such applications. An online form enables external parties to supply new exemplars for curation and inclusion into the repository. We envisage that our RoboMAX repository will enable the development, evaluation, and comparison of self-adaptation approaches for the robotic systems domain.",

author = "Mehrnoosh Askarpour and Christos Tsigkanos and Claudio Menghi and Radu Calinescu and Patrizio Pelliccione and Sergio Garc{\'i}a and Ricardo Caldas and \{von Oertzen\}, Tim and Manuel Wimmer and Luca Berardinelli and Matteo Rossi and Bersani, \{Marcello M.\} and Rodrigues, \{Gabriel S.\}",

year = "2021",

month = may,

doi = "10.1109/SEAMS51251.2021.00040",

language = "English",

isbn = "978-1-6654-0290-3",

pages = "245--251",

editor = "IEEE",

booktitle = "2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), May 18-24, 2021, virtual",

}

Askarpour, M, Tsigkanos, C, Menghi, C, Calinescu, R, Pelliccione, P, García, S, Caldas, R, von Oertzen, T, Wimmer, M , Berardinelli, L, Rossi, M, Bersani, MM & Rodrigues, GS 2021, RoboMAX: Robotic Mission Adaptation eXemplars. in IEEE (ed.), 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), May 18-24, 2021, virtual., 9462005, pp. 245-251. https://doi.org/10.1109/SEAMS51251.2021.00040

RoboMAX: Robotic Mission Adaptation eXemplars. / Askarpour, Mehrnoosh; Tsigkanos, Christos; Menghi, Claudio et al.
2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), May 18-24, 2021, virtual. ed. / IEEE. 2021. p. 245-251 9462005.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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T1 - RoboMAX: Robotic Mission Adaptation eXemplars

AU - Askarpour, Mehrnoosh

AU - Tsigkanos, Christos

AU - Menghi, Claudio

AU - Calinescu, Radu

AU - Pelliccione, Patrizio

AU - García, Sergio

AU - Caldas, Ricardo

AU - von Oertzen, Tim

AU - Wimmer, Manuel

AU - Berardinelli, Luca

AU - Rossi, Matteo

AU - Bersani, Marcello M.

AU - Rodrigues, Gabriel S.

PY - 2021/5

Y1 - 2021/5

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AB - Emerging and future applications of robotic systems pose unique self-adaptation challenges. To support the research needed to address these challenges, we provide an extensible repository of robotic mission adaptation exemplars. Co-designed with robotic application stakeholders including researchers, developers, operators, and end-users, our repository captures key sources of uncertainty, adaptation concerns, and other distinguishing characteristics of such applications. An online form enables external parties to supply new exemplars for curation and inclusion into the repository. We envisage that our RoboMAX repository will enable the development, evaluation, and comparison of self-adaptation approaches for the robotic systems domain.

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U2 - 10.1109/SEAMS51251.2021.00040

DO - 10.1109/SEAMS51251.2021.00040

M3 - Conference proceedings

SN - 978-1-6654-0290-3

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BT - 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), May 18-24, 2021, virtual

A2 - IEEE, null

ER -

RoboMAX: Robotic Mission Adaptation eXemplars

Abstract

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