Executable Scenario

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The Executable Scenario (ExSce) Work Package of the SESAME project.

Executable Scenario

This is the landing page for the work done in the context of the Executable Scenario (ExSce) work package of the SESAME project. This includes:

  1. Executable Scenario Management: graph-based scenario-management approach.
  2. An open repository of executable scenarios: A repository of models and metamodels developed to support scenario specification for Multi-Robot Systems (MRS).
  3. Executable Workbench: collection of tools that supports stakeholders in carrying out one or more activities of the ExSce Methodology.

The models and tools developed so far for ExSce target specific use cases and as such support only relevant subsets of the activities listed in the ExSce Methodology (see terminology page for definition). For other use cases and activities, users should enrich and extend ExSce with suitable models and tools accordingly, the process of which is enabled by our methodology.

The ExSce workbench has been used to support the following scientific articles (chronologically ordered):

  1. S. Parra, A. Ortega, S. Schneider, and N. Hochgeschwender, “A Thousand Worlds: Scenery Specification and Generation for Simulation-Based Testing of Mobile Robot Navigation Stacks”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
  2. S. Schneider, N. Hochgeschwender, and H. Bruyninckx, “Domain-specific languages for kinematic chains and their solver algorithms: lessons learned for composable models,” IEEE International Conference on Robotics and Automation (ICRA), 2023, doi: 10.1109/ICRA48891.2023.10160474
  3. D. Nurchalifah, S. Blumenthal, L. Lo Iacono, and N. Hochgeschwender, “Analysing the Safety and Security of a UV-C Disinfection Robot,” IEEE International Conference on Robotics and Automation (ICRA), 2023, doi: 10.1109/ICRA48891.2023.10160527.
  4. M. Nguyen, N. Hochgeschwender, S. Wrede, “An analysis of behaviour-driven requirement specification for robotic competitions”, 5th International Workshop on Robotics Software Engineering (RoSE’23), 2023.
  5. S. Sohail, S. Schneider, and N. Hochgeschwender, “Automated Testing of Standard Conformance Testing for Robots”, IEEE International Conference on Automation Science (CASE), 2023.

Acknowledgement

This work is funded by the European Union’s Horizon 2020 research and innovation programme SESAME, under grant agreement No 101017258.