# AI-Powered Interfaces for Extended Reality to support Remote Maintenance

arXiv: https://arxiv.org/abs/2306.16961 · HTML: https://mlsanity.com/paper/2306.16961/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Jun 2023.

## Built on by (most cited first, 1 of 1)

- [Cross-Format Retrieval-Augmented Generation in XR with LLMs for Context-Aware Maintenance Assistance](https://mlsanity.com/paper/2502.15604/) (2025)

## Abstract (arXiv)

High-end components that conduct complicated tasks automatically are a part of modern industrial systems. However, in order for these parts to function at the desired level, they need to be maintained by qualified experts. Solutions based on Augmented Reality (AR) have been established with the goal of raising production rates and quality while lowering maintenance costs. With the introduction of two unique interaction interfaces based on wearable targets and human face orientation, we are proposing hands-free advanced interactive solutions in this study with the goal of reducing the bias towards certain users. Using traditional devices in real time, a comparison investigation using alternative interaction interfaces is conducted. The suggested solutions are supported by various AI powered methods such as novel gravity-map based motion adjustment that is made possible by predictive deep models that reduce the bias of traditional hand- or finger-based interaction interfaces