日本フィジカルAI新聞

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群制御arXiv:2310.02343

混合クリティカリティを用いたロボット群の適応的アプリケーション動作

Adaptive Application Behaviour for Robot Swarms using Mixed-Criticality

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無線通信が不安定な環境でもロボット群が適切に動作するよう、アプリケーション層とネットワーク層を統合し、通信の重要度に応じてアプリケーションの振る舞いを動的に変更する混合クリティカリティモデルを提案・評価した。

著者: Sven Signer, Ian Gray

分類: cs.RO

原文アブストラクト

Communication is a vital component for all swarm robotics applications, and even simple swarm robotics behaviours often break down when this communication is unreliable. Since wireless communications are inherently subject to interference and signal degradation, real-world swarm robotics applications will need to be able handle such scenarios. This paper argues for tighter integration of application level and network layer behaviour, so that the application can alter its behaviour in response to a degraded network. This is systematised through the implementation of a mixed-criticality system model. We compare a static application behaviour with that of an application that is able to alter its behaviour in response to the current criticality level of a mixed-criticality wireless protocol. Using simulation results we show that while a static approach is sufficient if the network conditions are known a priori, a mixed-criticality system model is able to adapt application behaviour to better support unseen or unpredictable conditions.

関連論文

PR本紙発行元 EmplifAI