AI Assisted AR Assembly: Object Recognition and Computer Vision for Augmented Reality Assisted Assembly
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Abstract (arXiv)
We present an AI-assisted Augmented Reality assembly workflow that uses deep learning-based object recognition to identify different assembly components and display step-by-step instructions. For each assembly step, the system displays a bounding box around the corresponding components in the physical space, and where the component should be placed. By connecting assembly instructions with the real-time location of relevant components, the system eliminates the need for manual searching, sorting, or labeling of different components before each assembly. To demonstrate the feasibility of using object recognition for AR-assisted assembly, we highlight a case study involving the assembly of LEGO sculptures.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 4 of its 11 references that are in the map. First posted on arXiv 7 Nov 2025.
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4 of 11 references.
References · 4
- 2024Speech to Reality: On-Demand Production using Natural Language, 3D Generative AI, and Discrete Robotic Assemblycited by 4
- 2025Making Physical Objects with Generative AI and Robotic Assembly: Considering Fabrication Constraints, Sustainability, Time, Functionality, and Accessibilitycited by 4
- 2024Gesture Recognition for Feedback Based Mixed Reality and Robotic Fabrication: A Case Study of the UnLog Towercited by 2
- 2023Multi-3D-Models Registration-Based Augmented Reality (AR) Instructions for Assemblycited by 1
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Citing papers per year: 2025: 1.
1 paper.