Reference : RoboMAX: Robotic Mission Adaptation eXemplars
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Security, Reliability and Trust
RoboMAX: Robotic Mission Adaptation eXemplars
Askarpour, Mehrnoosh [McMaster University]
Tsigkanos, Christos [Technische Universität Wien]
Menghi, Claudio mailto [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]
Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) - Artifact Track
Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
from 23-05-2021 to 24-05-2021
[en] Self-adaptation ; Robotic mission specification ; Robotic mission adaptation ; Robot system development
[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.
Austrian Science Fund (FWF) project M 2778- N “EDENSPACE” ; UKRI project EP/V026747/1 “Trust- worthy Autonomous Systems Node in Resilience”, ; NSERC ; Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation
H2020 ; 694277 - TUNE - Testing the Untestable: Model Testing of Complex Software-Intensive Systems

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