Fiber-Optic Multi-Wavelength Control System for Robotics with AI Integration

Traditional robotic control relies primarily on electrical signals (voltage orcurrent) that are prone to electromagnetic interference, wiring bulk, and limitedscalability. With increasing demands for flexible, high-speed, and reliable roboticsystems, we propose a novel fiber-optic control architecture that leveragesmulti-wavelength (color-coded) light signals combined with AI-enabled decodingand adaptive control.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-28
DOI
https://doi.org/10.5281/zenodo.16976052
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Fiber-Optic Multi-Wavelength Control System for Robotics with AI Integration

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Fiber-Optic Multi-Wavelength Control System for Robotics with AI Integration

article en

Abstract

Traditional robotic control relies primarily on electrical signals (voltage orcurrent) that are prone to electromagnetic interference, wiring bulk, and limitedscalability. With increasing demands for flexible, high-speed, and reliable roboticsystems, we propose a novel fiber-optic control architecture that leveragesmulti-wavelength (color-coded) light signals combined with AI-enabled decodingand adaptive control.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 63%
Geochemistry and Geologic Mapping
DOIOpen Access PDFOpenAlex
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Fiber-Optic Multi-Wavelength Control System for Robotics with AI Integration · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS