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Statistical Model Checking of Complex Robotic Systems

Authors:

Mohammed Foughali , Félix Ingrand , Cristina Seceleanu

Publication Type:

Conference/Workshop Paper

Venue:

26th International Symposium on Model Checking of Software

Publisher:

Springer

DOI:

https://doi.org/10.1007/978-3-030-30923-7_7


Abstract

Failure of robotic software may cause catastrophic damages. In order to establish a higher level of trust in robotic systems, formal methods are often proposed. However, their applicability to the functional layer of robots remains limited because of the informal nature of specifications, their complexity and size. In this paper, we formalize the robotic framework Open image in new window and automatically translate its components to UPPAAL-SMC, a real-time statistical model checker. We apply our approach to verify properties of interest on a real-world autonomous drone navigation that does not scale with regular UPPAAL.

Bibtex

@inproceedings{Foughali6148,
author = {Mohammed Foughali and F{\'e}lix Ingrand and Cristina Seceleanu},
title = {Statistical Model Checking of Complex Robotic Systems},
isbn = {978-3-030-30922-0},
editor = {Biondi F., Given-Wilson T., Legay A. (eds)},
volume = {11636},
number = {pp. 114-134 },
pages = {114--134},
month = {October},
year = {2019},
booktitle = {26th International Symposium on Model Checking of Software},
publisher = {Springer},
url = {http://www.es.mdh.se/publications/6148-}
}