Taking Manual: An AI-Powered Industrial Copilot

Talking Manual is an AI-powered industrial maintenance assistant designed to help technicians troubleshoot machinery efficiently. It provides a machine-specific knowledge base using equipment manuals, standard operating procedures (SOPs), wiring diagrams and maintenance logs. The system uses Retrieval-Augmented Generation (RAG) to retrieve relevant information and generate context-based responses. It incorporates document processing, OCR, hybrid search, vector databases and large language models. It also introduces Grease Mode, a hands-free interface that uses voice commands and hand gestures, allowing technicians to interact with the system without touching the screen. A dynamic diagnostic checklist helps technicians follow troubleshooting steps and track their progress. The proposed system aims to reduce machine downtime, improve maintenance efficiency and provide accessible AI-based technical assistance in industrial environments.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-30
DOI
https://doi.org/10.5281/zenodo.23801237
Primary Topic
Machine Fault Diagnosis Techniques
Type
preprint
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preprint

Taking Manual: An AI-Powered Industrial Copilot

Shivam Zode, Deepratna Pawar, Pratik Ghutukade, Viraj Chavan et al.
3 links
Zenodo (CERN European Organization for Nuclear Research)
Machine Fault Diagnosis Techniques
preprint

Taking Manual: An AI-Powered Industrial Copilot

Shivam Zode, Deepratna Pawar, Pratik Ghutukade, Viraj Chavan, Sanchi Jamage
preprint en

Abstract

Talking Manual is an AI-powered industrial maintenance assistant designed to help technicians troubleshoot machinery efficiently. It provides a machine-specific knowledge base using equipment manuals, standard operating procedures (SOPs), wiring diagrams and maintenance logs. The system uses Retrieval-Augmented Generation (RAG) to retrieve relevant information and generate context-based responses. It incorporates document processing, OCR, hybrid search, vector databases and large language models. It also introduces Grease Mode, a hands-free interface that uses voice commands and hand gestures, allowing technicians to interact with the system without touching the screen. A dynamic diagnostic checklist helps technicians follow troubleshooting steps and track their progress. The proposed system aims to reduce machine downtime, improve maintenance efficiency and provide accessible AI-based technical assistance in industrial environments.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Machine Fault Diagnosis Techniques
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