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An Evaluation Model for Information Distribution in Multi-Robot Systems.

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Summary
This summary is machine-generated.

This study introduces a novel analytical model for evaluating information distribution in multi-robot systems, particularly for multi-unmanned aerial vehicle (UAV) missions. The model quantifies message utility, aiding in assessing and optimizing robotic communication strategies.

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autonomous systemsinformation distributionmulti-robot systemsutility theory

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Computer Science

Background:

  • Effective information distribution is crucial for coordinated operations in multi-robot systems.
  • Current methods for assessing information exchange efficacy lack a unified framework.
  • Unmanned aerial vehicles (UAVs) present unique challenges for real-time data sharing.

Purpose of the Study:

  • To present a novel analytical model for evaluating information distribution schemes in multi-robot systems.
  • To provide a unified framework for quantifying the utility of exchanged messages.
  • To facilitate the assessment and optimization of information distribution strategies.

Main Methods:

  • Development of a general analytical model to represent message utility.
  • Instantiation of the model with specific examples for diverse robotic missions.
  • Implementation of a proof-of-concept in Robot Operating System 2 (ROS 2) with network emulation.

Main Results:

  • The proposed model offers a standardized approach to assess information distribution.
  • Demonstrated flexibility in defining message utility for various information types.
  • Successful proof-of-concept validates the model's applicability in a simulated robotic system.

Conclusions:

  • The developed analytical model provides a robust framework for evaluating information distribution in multi-robot systems.
  • It serves as a foundational tool for future research into generic solutions for communication optimization.
  • The model's implementation in ROS 2 showcases its practical relevance for multi-UAV applications.