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A Compositional Approach to Verifying Modular Robotic Systems

  • Matt Luckcuck* (Corresponding Author)
  • , Marie Farrell
  • , Angelo Ferrando
  • , Rafael C. Cardoso
  • , Louise A. Dennis
  • , Michael Fisher
  • *Corresponding author for this work
  • University of Nottingham
  • University of Manchester
  • University of Modena and Reggio Emilia

Research output: Contribution to journalArticlepeer-review

Abstract

Robotic systems used in safety-critical scenarios often rely on modular software architectures, and increasingly include autonomous components. Verifying that these modular robotic systems behave as expected requires approaches that can cope with, and preferably take advantage of, this inherent modularity. This paper describes a compositional approach to specifying the nodes in robotic systems built using the Robot Operating System (ROS), where each node is specified using First-Order Logic (FOL) assume-guarantee contracts that link the specification to the ROS implementation. We introduce inference rules that facilitate the composition of these node-level contracts to derive system-level properties. We also present a novel Domain-Specific Language, the ROS Contract Language (RCL), which captures a node’s FOL specification and links this contract to its implementation. RCL contracts can be automatically translated, by our tool Vanda, into executable monitors; which we use to verify the contracts at runtime. We illustrate our approach through the specification and verification of an autonomous rover engaged in the remote inspection of a nuclear site, and finish with smaller examples that illustrate other useful features of our framework.
Original languageEnglish
Article number105648
Number of pages27
JournalRobotics and autonomous systems
Volume205
Early online date5 Aug 2026
DOIs
Publication statusE-pub ahead of print - 5 Aug 2026

Bibliographical note

To ensure open access, the authors have applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.

Data Availability Statement

The formal models, data, and source code supporting the findings reported in this paper are openly available from the Zenodo repository at: https://doi.org/10.5281/zenodo.6941344.

Funding

The work was supported by UK Research and Innovation, and EPSRC Hubs for Robotics and AI in Hazardous Environments: EP/R026092 (FAIR-SPACE), EP/R026173 (ORCA), and EP/R026084 (RAIN); and through grant EP/V026801 (TAS Verifiability Node). Cardoso’s and Fisher’s work was supported by the Royal Academy of Engineering under the Chairs in Emerging Technologies scheme.

FundersFunder number
UK Research and Innovation EP/R026092, EP/R026173, EP/R026084, EP/V026801

    Keywords

    • ROS
    • Formal Requirements
    • Modular Robotic Systems
    • Assume-Guarantee Contracts

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