Demonstration of a Continuously Updated, Radio-Compatible Digital Twin for Robotic Integrated Sensing and Communications
Andrei, Vlad C.; Susarla, Praneeth; Djuhera, Aladin; Vaara, Niklas; Mustaniemi, Janne; Casado, Constantino Álvarez; Li, Xinyang; Mönich, Ullrich J.; Boche, Holger; López, Miguel Bordallo (2025-02-17)
IEEE
17.02.2025
V. C. Andrei et al., "Demonstration of a Continuously Updated, Radio-Compatible Digital Twin for Robotic Integrated Sensing and Communications," 2025 IEEE 5th International Symposium on Joint Communications & Sensing (JC&S), Oulu, Finland, 2025, pp. 1-2, doi: 10.1109/JCS64661.2025.10880640
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© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists,or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202503252186
https://urn.fi/URN:NBN:fi:oulu-202503252186
Tiivistelmä
Abstract
Integrated sensing and communications (ISAC) is essential for future 6 G, bridging physical and digital worlds by enabling wireless systems to sense and respond to their environment. Digital twins (DTs) enhance ISAC by providing real-time, data-driven models for applications like localization and autonomous navigation. However, existing DT frameworks lack real-time modeling and multimodal sensing, limiting their use for high-resolution ISAC. This demo paper extends our recently proposed real-time DT framework for indoor ISACenabled robotics and introduces an LLM-driven speech interface for control and planning, a continuous 3D reconstruction scheme using RGB-D data, and a novel ray tracing approach for wireless channel modeling from point clouds. These innovations address key limitations, supporting advanced ISAC applications and immersive human-computer interaction.
Integrated sensing and communications (ISAC) is essential for future 6 G, bridging physical and digital worlds by enabling wireless systems to sense and respond to their environment. Digital twins (DTs) enhance ISAC by providing real-time, data-driven models for applications like localization and autonomous navigation. However, existing DT frameworks lack real-time modeling and multimodal sensing, limiting their use for high-resolution ISAC. This demo paper extends our recently proposed real-time DT framework for indoor ISACenabled robotics and introduces an LLM-driven speech interface for control and planning, a continuous 3D reconstruction scheme using RGB-D data, and a novel ray tracing approach for wireless channel modeling from point clouds. These innovations address key limitations, supporting advanced ISAC applications and immersive human-computer interaction.
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