Applying reactive synthesis in practice often requires modifications of the synthesis algorithm in order to obtain useful implementations. We present slugs, a generalized reactivity(1) synthesis tool that has a powerful plugin architecture for modifying any aspect of the synthesis process to fit the application. Slugs comes pre-equipped with a variety of plugins that improve the quality of the synthesized solutions along criteria such as quick response, cost-optimality, and error-resilience. We demonstrate the utility and scalability of the tool on an example from robotics.
CITATION STYLE
Ehlers, R., & Raman, V. (2016). Slugs: Extensible GR(1) synthesis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9780, pp. 333–339). Springer Verlag. https://doi.org/10.1007/978-3-319-41540-6_18
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