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AURA.I. AUgmented Reality utilizing Artificial. Intelligence.

Reference number
Coordinator GKN Aerospace Sweden AB
Funding from Vinnova SEK 1 223 718
Project duration May 2024 - August 2026
Status Ongoing
Venture India- Sweden Collaborative Industrial Research & Development Program Request for Proposal
Call Cooperation with India - company-driven research and innovation projects 2023

Purpose and goal

In collaboration with Beebox Studios, University West, and IIT Madras; the objectives of this project are to design a Software Development Kit (SDK) that can be used in 3D engines to support Extended Reality (XR) applications in utilizing Large Language Model (LLM) Artificial Intelligence (AI) to provide more personalized and more specific instructions to the user, using both the user´s profile and the environment. The project will also use this SDK to create an official prototype application to assist inspection tasks at GKN in an industrial setting.

Expected effects and result

The expected result is to produce a marketable toolkit that can be integrated into 3D engines to produce applications for XR devices that can utilize AI to provide instructions. Published results will be released into the development of an LLM model integrated with XR systems. Alongside research for both the large language model and XR hardware integration, results of the user study for the toolkit integrated into an application for inspection processes at GKN will be made public.

Planned approach and implementation

Our project is divided into 5 main tasks. Task 1 is to do research into Large Language Models with IIT Madras and University West, task 2 is to do research into integrating XR hardware inputs and outputs into AI with GKN and University West, task 3 to develop an AI toolkit with Beebox, task 4 is to use the toolkit with a Augmented Reality application in an industrial setting Beebox and IIT Madras, and task 5 is to create a usability study on the application with University West.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 1 October 2024

Reference number 2023-03534