pcbGPT: Automatic PCB Schematic Synthesis from Natural Language Requirements
Translating natural-language hardware requirements into correct printed circuit board (PCB) schematics remains difficult in embedded, IoT, and wearable development. Designers must choose compatible components, interpret datasheets, add support circuitry, and expose correct interfaces before layout and prototyping can begin, while many such circuits cannot be validated through straightforward simulation. We present pcbGPT, a grounded system for generating editable KiCad schematics from natural-language specifications. pcbGPT represents circuits in a Python DSL and combines tool-augmented synthesis with component-library search, datasheet-grounded design knowledge, execution-based checking,...
| Authors | Tobias King, Steven Kehrberg, Michael Beigl et al. |
|---|---|
| Primary category | cs.HC |
| Published | 31 May 2026 |
| Last updated at source | 31 May 2026 |
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