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Communication Dans Un Congrès Année : 2022

SkiNet, A Petri Net Generation Tool for the Verification of Skillset-based Autonomous Systems

Résumé

The need for high-level autonomy and robustness of autonomous systems for missions in dynamic and remote environment has pushed developers to come up with new software architectures. A common architecture style is to summarize the capabilities of the robotic system into elementary actions, called skills, on top of which a skill management layer is implemented to structure, test and control the functional layer. However, current available verification tools only provide either mission-specific verification or verification on a model that does not replicate the actual execution of the system, which makes it difficult to ensure its robustness to unexpected events. To that end, a tool, SkiNet, has been developed to transform the skill-based architecture of a system into a Petri net modeling the state-machine behaviors of the skills and the resources they handle. The Petri net allows the use of model-checking, such as Linear Temporal Logic (LTL) or Computational Tree Logic (CTL), for the user to analyze and verify the model of the system.
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Dates et versions

hal-04073365 , version 1 (18-04-2023)

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Paternité

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Baptiste Pelletier, Charles Lesire, David Doose, Karen Godary-Dejean, Charles Dramé-Maigné. SkiNet, A Petri Net Generation Tool for the Verification of Skillset-based Autonomous Systems. EPTCS 2022 - Electronic Proceedings in Theoretical Computer Science, Sep 2022, Berlin, Germany. pp.120-138, ⟨10.4204/eptcs.371.9⟩. ⟨hal-04073365⟩
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