Design and Integration of a Robotic Gripper and Warehouse System for Automated Cable Assembly

Robotic automation can improve efficiency in switchgear manufacturing, but fully automating the wiring phase remains challenging. A key limitation is the unstructured organization of cables after production, which hinders robotic integration. This paper introduces a cost-effective, modular warehouse system that bridges the gap between automated cable production and robotic wiring. The proposed system combines a custom gripper, capable of handling cables of various diameters, with a structured storage solution using adaptive clips optimized via finite element analysis. By enabling deterministic cable placement, the system aims to eliminate the need for complex vision-based identification. Experimental results confirm its robustness and repeatability, paving the way toward fully automated cable assembly in industrial applications.

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Publication Details

Published
2025-08-17
DOI
https://doi.org/10.1109/case58245.2025.11163907
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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Design and Integration of a Robotic Gripper and Warehouse System for Automated Cable Assembly

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Advanced Manufacturing and Logistics Optimization
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Design and Integration of a Robotic Gripper and Warehouse System for Automated Cable Assembly

Gianluca Palli, Maurizio Indovini, Andrea Govoni, Miriam Massini Alunni, Michela Cavuoto
article en

Abstract

Robotic automation can improve efficiency in switchgear manufacturing, but fully automating the wiring phase remains challenging. A key limitation is the unstructured organization of cables after production, which hinders robotic integration. This paper introduces a cost-effective, modular warehouse system that bridges the gap between automated cable production and robotic wiring. The proposed system combines a custom gripper, capable of handling cables of various diameters, with a structured storage solution using adaptive clips optimized via finite element analysis. By enabling deterministic cable placement, the system aims to eliminate the need for complex vision-based identification. Experimental results confirm its robustness and repeatability, paving the way toward fully automated cable assembly in industrial applications.

Honey bee and Silkworm Research Unit (IT), University of Bologna (IT)
Openalex Percentile: Top 64%
Advanced Manufacturing and Logistics Optimization
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