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  • 1IMT School for Advanced Studies, Lucca, Italy.

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Summary
This summary is machine-generated.

Ensuring safe multi-robot systems (MRS) operation requires formal verification. This study identifies key MRS features and evaluates specification languages to bridge the gap between system complexity and formal modeling for improved safety and reliability.

Keywords:
automated reasoningcollective behaviorcommunicationlanguagesmulti-robot systems

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Area of Science:

  • Robotics
  • Software Engineering
  • Formal Methods

Background:

  • Multi-robot systems (MRS) face risks from complex interactions, leading to failures, economic loss, and safety hazards.
  • Traditional testing and simulation methods may not fully capture emergent behaviors and risks in MRS.
  • Formal verification methods are crucial for guaranteeing MRS behavior and mitigating unforeseen consequences.

Purpose of the Study:

  • To identify key features of multi-robot systems (MRS) relevant for formal specification.
  • To evaluate existing specification languages for their adequacy in modeling MRS.
  • To reduce the gap between MRS characteristics and linguistic primitives for simplified specification and verification.

Main Methods:

  • Identification of critical features characterizing multi-robot systems.
  • Selection of three representative specification languages for MRS.
  • Case studies implementing MRS using selected languages to assess feature coverage and intuitiveness.

Main Results:

  • Key features of MRS were identified to guide language selection.
  • Three distinct specification languages were analyzed for their suitability in MRS modeling.
  • The assessment revealed varying degrees of adequacy and intuitiveness in how languages capture MRS features.

Conclusions:

  • Tailored linguistic support is essential for effective MRS specification and verification.
  • The evaluation provides insights into selecting appropriate languages for formalizing MRS.
  • Bridging the gap between MRS features and specification language primitives enhances system safety and reliability.