This repository contains the artifacts to reproduce the evaluation of the AMAR framework for the paper "Assured Mission Adaptation of Multi-Robot Systems" submitted to SEAMS 2026.
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EC1: How effective is AMAR in assuring mission adaptations at runtime?
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EC2: To what extent does enforcing quiescence influence the outcomes of mission adaptation under uncertainty?
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EC3: What is the impact of the quiescence monitoring on the effectiveness of mission adaptation?
Overview of the replication package:
. ├── evaluation/ # Reproduction assets for the evaluation questions ├── README.md └── ros_pkg/ # AMAR ROS 2 packages (quiescence architecture + monitors)
- AMAR framework (ROS 2): see
ros_pkg/README.mdfor building the workspace. - EC1, EC2, EC3: open
evaluation/and follow the README to run the effectiveness analysis and generate graphs via jupyter notebook.
Each subdirectory contains its own minimal README with concrete commands.
If you use these artifacts, please cite the associated paper “Assured Mission Adaptation of Multi‑Robot Systems (AMAR)” (SEAMS 2026).