International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
Published March 17, 2021 | Version V1.0
Software Open

RoboMAX: Robotic Mission Adaptation eXemplars

Authors/Creators

  • 1. McMaster University
  • 2. Technische Universität Wien
  • 3. University of Luxembourg
  • 4. University of York
  • 5. Chalmers | University of Gothenburg
  • 6. Johannes Kepler University Linz
  • 7. Politecnico di Milano
  • 8. University of Brasilia

Description

This release of our repository consists of 14 scenarios.

Abstract—Emerging and future applications of robotic systems pose unique self-adaptation challenges. To support the research needed to address them, 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.

Notes

This project has received funding from the Austrian Science Fund (FWF) project M 2778- N "EDENSPACE", the UKRI project EP/V026747/1 "Trustworthy Autonomous Systems Node in Resilience", NSERC, and the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation.

Files

Askarpour/RoboMAX-V1.0.zip

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Additional details

Related works

Is supplement to
https://github.com/Askarpour/RoboMAX/tree/V1.0 (URL)

Funding

European Commission
TUNE - Testing the Untestable: Model Testing of Complex Software-Intensive Systems 694277