mlsanityData to 14 Oct 2026

AiBAT: Artificial Intelligence/Instructions for Build, Assembly, and Test

arXiv 2410.02955 ↗First posted 3 Oct 2024cs.AI cs.AR cs.ETcited by 1

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Abstract (arXiv)

Instructions for Build, Assembly, and Test (IBAT) refers to the process used whenever any operation is conducted on hardware, including tests, assembly, and maintenance. Currently, the generation of IBAT documents is time-intensive, as users must manually reference and transfer information from engineering diagrams and parts lists into IBAT instructions. With advances in machine learning and computer vision, however, it is possible to have an artificial intelligence (AI) model perform the partial filling of the IBAT template, freeing up engineer time for more highly skilled tasks. AiBAT is a novel system for assisting users in authoring IBATs. It works by first analyzing assembly drawing documents, extracting information and parsing it, and then filling in IBAT templates with the extracted information. Such assisted authoring has potential to save time and reduce cost. This paper presents an overview of the AiBAT system, including promising preliminary results and discussion on future work.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 23 of its 57 references that are in the map. First posted on arXiv 3 Oct 2024.

Builds on

23 of 57 references.

References · 23

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11 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Agentic AI in Engineering and Manufacturing: Industry Perspectives on Utility, Adoption, Challenges, and Opportunitiescited by 0