arXiv Open Access 2025

Quantum-Assisted Automatic Path-Planning for Robotic Quality Inspection in Industry 4.0

Eneko Osaba Estibaliz Garrote Pablo Miranda-Rodriguez Alessia Ciacco Itziar Cabanes +1 lainnya

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Abstrak

This work explores the application of hybrid quantum-classical algorithms to optimize robotic inspection trajectories derived from Computer-Aided Design (CAD) models in industrial settings. By modeling the task as a 3D variant of the Traveling Salesman Problem, incorporating incomplete graphs and open-route constraints, this study evaluates the performance of two D-Wave-based solvers against classical methods such as GUROBI and Google OR-Tools. Results across five real-world cases demonstrate competitive solution quality with significantly reduced computation times, highlighting the potential of quantum approaches in automation under Industry 4.0.

Topik & Kata Kunci

cs.RO cs.AI cs.ET

Penulis (6)

Eneko Osaba

Estibaliz Garrote

Pablo Miranda-Rodriguez

Alessia Ciacco

Itziar Cabanes

Aitziber Mancisidor

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Osaba, E., Garrote, E., Miranda-Rodriguez, P., Ciacco, A., Cabanes, I., Mancisidor, A. (2025). Quantum-Assisted Automatic Path-Planning for Robotic Quality Inspection in Industry 4.0. https://arxiv.org/abs/2507.01462

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Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓