eXtended Reality (XR) technologies are increasingly used in education and industry due to their support for spatial 3D interaction and contextual annotations, which enhance learning and task efficiency. Current solutions offer features like real-time collaboration and virtual annotations, but are often costly and tied to specific hardware. Key requirements for effective XR systems include device independence, usability, external data integration, and real-time collaboration. WebXR holds promise in addressing these needs, yet no comprehensive open-source platform currently exists that combines: (i) an adaptive immersive WebXR environment, (ii) remote-streaming capabilities for broader access, and (iii) integration with external 3D databases. To address this gap, we present XRidge (XR Knowledge Bridge), a cross-reality WebXR platform supporting immersive, collaborative, and data-driven experiences. XRidge is designed to be hardware-agnostic and open-source, enabling applications in remote teaching, training, and showcasing.

Vallasciani, G., Cascarano, P., Marfia, G. (2026). XRidge: Enabling Cross-Reality Co-creation with Generative AI and LLMs. Springer Science and Business Media Deutschland GmbH [10.1007/978-3-032-11317-7_53].

XRidge: Enabling Cross-Reality Co-creation with Generative AI and LLMs

Vallasciani G.;Cascarano P.;Marfia G.
2026

Abstract

eXtended Reality (XR) technologies are increasingly used in education and industry due to their support for spatial 3D interaction and contextual annotations, which enhance learning and task efficiency. Current solutions offer features like real-time collaboration and virtual annotations, but are often costly and tied to specific hardware. Key requirements for effective XR systems include device independence, usability, external data integration, and real-time collaboration. WebXR holds promise in addressing these needs, yet no comprehensive open-source platform currently exists that combines: (i) an adaptive immersive WebXR environment, (ii) remote-streaming capabilities for broader access, and (iii) integration with external 3D databases. To address this gap, we present XRidge (XR Knowledge Bridge), a cross-reality WebXR platform supporting immersive, collaborative, and data-driven experiences. XRidge is designed to be hardware-agnostic and open-source, enabling applications in remote teaching, training, and showcasing.
2026
Lecture Notes in Computer Science
661
673
Vallasciani, G., Cascarano, P., Marfia, G. (2026). XRidge: Enabling Cross-Reality Co-creation with Generative AI and LLMs. Springer Science and Business Media Deutschland GmbH [10.1007/978-3-032-11317-7_53].
Vallasciani, G.; Cascarano, P.; Marfia, G.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1049113
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