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Abstract
Many industrial sectors rely on well-trained employees that are able to operate complex machinery. In this work, we demon- strate an immersive assistance system powered by Artificial Intelli- gence (AI) that supports users in performing complex tasks in in- dustrial environments. Our system leverages a Virtual Reality (VR) environment that resembles a juice mixer setup. This digital twin of a physical setup simulates complex industrial machinery used to mix preparations or liquids (e.g., similar to the pharmaceutical indus- try) and includes various containers, sensors, pumps, and flow con- trollers. This setup demonstrates our system’s capabilities in a con- trolled environment while acting as a proof-of-concept for broader industrial applications. The core components of our multimodal AI assistant are a large language model and a speech-to-text model that process a video and audio recording of an expert performing the task in a VR environment. The video and speech input extracted from the expert’s video enables it to provide step-by-step guidance to support users in executing complex tasks. This demonstration showcases the potential of our AI-powered assistant to reduce cognitive load, in- crease productivity, and enhance safety in industrial environments.
Original language | English |
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Title of host publication | 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE |
Publication status | Published - 20 Oct 2024 |
Keywords
- AI Assistant
- Augmented Reality
- LLM
- language model
- Speech model
ASJC Scopus subject areas
- Artificial Intelligence
- Information Systems
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DDIA - Data Driven Immersive Analytics in Digital Industries
Müller-Putz, G. (Co-Investigator (CoI)), Schreck, T. (Co-Investigator (CoI)), Lindstaedt, S. (Co-Investigator (CoI)), Pock, T. (Co-Investigator (CoI)), Veas, E. E. (Co-Investigator (CoI)), Pammer-Schindler, V. (Co-Investigator (CoI)) & Kowald, D. (Co-Investigator (CoI))
1/01/22 → 31/12/26
Project: Research project