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RoboMAX: Robotic Mission Adaptation eXemplars
Askarpour, Mehrnoosh; Tsigkanos, Christos; Menghi, Claudio et al.
2021In Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) - Artifact Track
Peer reviewed


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Keywords :
Self-adaptation; Robotic mission specification; Robotic mission adaptation; Robot system development
Abstract :
[en] 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 much-needed self-adaptation approaches for the robotic systems domain.
Disciplines :
Computer science
Author, co-author :
Askarpour, Mehrnoosh;  McMaster University
Tsigkanos, Christos;  Technische Universität Wien
Menghi, Claudio ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV
Calinescu, Radu;  University of York
Pelliccione, Patrizio;  Gran Sasso Science Institute, Italy Chalmers | University of Gothenburg
García, Sergio;  Chalmers | University of Gothenburg
Caldas, Ricardo;  Chalmers | University of Gothenburg
von Oertzen, Tim J von;  Johannes Kepler University Linz Kepler University Hospital
Wimmer, Manuel;  Johannes Kepler University Linz
Berardinelli, Luca;  Johannes Kepler University Linz
Rossi, Matteo;  Politecnico di Milano
Bersani, Marcello M.;  Politecnico di Milano
Rodrigues, Gabriel S.;  University of Brasilia
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Title :
RoboMAX: Robotic Mission Adaptation eXemplars
Publication date :
Event name :
Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
Event date :
from 23-05-2021 to 24-05-2021
Main work title :
Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) - Artifact Track
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
European Projects :
H2020 - 694277 - TUNE - Testing the Untestable: Model Testing of Complex Software-Intensive Systems
Funders :
Austrian Science Fund (FWF) project M 2778- N “EDENSPACE”
UKRI project EP/V026747/1 “Trust- worthy Autonomous Systems Node in Resilience”,
CRSNG - Conseil de Recherches en Sciences naturelles et en Génie [CA]
Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation
CE - Commission Européenne [BE]
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