Literature DB >> 32012915

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

Michał Barciś1, Agata Barciś1, Hermann Hellwagner1.   

Abstract

This work addresses the problem of information distribution in multi-robot systems, with an emphasis on multi-UAV (unmanned aerial vehicle) applications. We present an analytical model that helps evaluate and compare different information distribution schemes in a robotic mission. It serves as a unified framework to represent the usefulness (utility) of each message exchanged by the robots. It can be used either on its own in order to assess the information distribution efficacy or as a building block of solutions aimed at optimizing information distribution. Moreover, we present multiple examples of instantiating the model for specific missions. They illustrate various approaches to defining the utility of different information types. Finally, we introduce a proof of concept showing the applicability of the model in a robotic system by implementing it in Robot Operating System 2 (ROS 2) and performing a simple simulated mission using a network emulator. We believe the introduced model can serve as a basis for further research on generic solutions for assessing or optimizing information distribution.

Entities:  

Keywords:  autonomous systems; information distribution; multi-robot systems; utility theory

Year:  2020        PMID: 32012915      PMCID: PMC7038497          DOI: 10.3390/s20030710

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  UAV Swarm Mission Planning in Dynamic Environment Using Consensus-Based Bundle Algorithm.

Authors:  Yaozhong Zhang; Wencheng Feng; Guoqing Shi; Frank Jiang; Morshed Chowdhury; Sai Ho Ling
Journal:  Sensors (Basel)       Date:  2020-04-17       Impact factor: 3.576

2.  A Dynamic Task Allocation Algorithm for Heterogeneous UUV Swarms.

Authors:  Xiaojun Wu; Zhiyuan Gao; Sheng Yuan; Qiao Hu; Zerui Dang
Journal:  Sensors (Basel)       Date:  2022-03-09       Impact factor: 3.576

  2 in total

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