日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

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arXiv:2402.15191

A Digital Twinning Platform for Integrated Sensing, Communications and Robotics

A Digital Twinning Platform for Integrated Sensing, Communications and Robotics

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著者: Vlad C. Andrei, Xinyang Li, Maresa Fees, Andreas Feik, Ullrich J. Mönich, Holger Boche

分類: cs.RO, cs.IT, cs.SY, eess.SP, eess.SY, math.IT

原文アブストラクト

In this paper, a digital twinning framework for indoor integrated sensing, communications, and robotics is proposed, designed, and implemented. Besides leveraging powerful robotics and ray-tracing technologies, the framework also enables integration with real-world sensors and reactive updates triggered by changes in the environment. The framework is designed with commercial, off-the-shelf components in mind, thus facilitating experimentation in the different areas of communication, sensing, and robotics. Experimental results showcase the feasibility and accuracy of indoor localization using digital twins and validate our implementation both qualitatively and quantitatively.