Information Technology: Faculty Publications

Empowering Circuit Prototyping with Generative AI: A Framework for Vision-Based Real-Time Code Generation and Adaptation

Document Type

Conference Proceeding

Publication Date

5-7-2025

Publication Title

2025 6th International Conference on Artificial Intelligence, Robotics, and Control, AIRC 2025

DOI

10.1109/AIRC64931.2025.11077546

ISBN

9798331543488

Abstract

Circuit prototyping is crucial in electronic design but remains a challenging and time-intensive process, often demanding manual coding, iterative testing, and domain expertise. Despite the popularity of platforms like Arduino and Raspberry Pi, translating designs into functional code continues to be a bottleneck, especially for non-experts. This research introduces a generative AI-driven framework to automate and adapt code generation in real-time, streamlining prototyping workflows and enhancing accessibility and efficiency. Leveraging state-of-the-art language models, the proposed system monitors physical changes in circuit configurations on breadboards, focusing on the Arduino platform, and dynamically translates visual data into functional code. The study explores AI's potential in generating Arduino code, presenting approaches to achieve real-time adaptation during circuit design. Empirical results demonstrate the framework's effectiveness through time-series comparisons, API usage analysis, and multi-angle viewport assessments. This foundational work highlights AI's transformative potential in modernizing and simplifying circuit prototyping and design workflows.

Comments

Georgia Southern University faculty members, Atef Shalan, Hayden Wimmer, and Christopher Kadlec co-authored, "Empowering Circuit Prototyping with Generative AI: A Framework for Vision-Based Real-Time Code Generation and Adaptation."

Copyright

This work is archived and distributed under the repository's Standard Copyright and Reuse License (opens in new tab). End users may copy, store, and distribute this work without restriction. For all other uses, permission must be obtained from the copyright owners or their authorized agents.

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