Robots and autonomous systems have become a part of our everyday life, therefore guaranteeing their safety is crucial. Among the possible ways to do so, monitoring is widely used, but few methods exist to systematically generate safety rules to implement such monitors. Particularly, building safety monitors that do not constrain excessively the system’s ability to perform its tasks is necessary as those systems operate with few human interventions. We propose in this paper a method to take into account the system’s desired tasks in the specification of strategies for monitors and apply it to a case study. We show that we allow more strategies to be found and we facilitate the reasoning about the trade-off between safety and availability.
CITATION STYLE
Masson, L., Guiochet, J., Waeselynck, H., Cabrera, K., Cassel, S., & Törngren, M. (2018). Tuning permissiveness of active safety monitors for autonomous systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10811 LNCS, pp. 333–348). Springer Verlag. https://doi.org/10.1007/978-3-319-77935-5_23
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