Quantum-Assisted Automatic Path-Planning for Robotic Quality Inspection in Industry 4.0
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909672209907712 |
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| author | Osaba, Eneko Garrote, Estibaliz Miranda-Rodriguez, Pablo Ciacco, Alessia Cabanes, Itziar Mancisidor, Aitziber |
| author_facet | Osaba, Eneko Garrote, Estibaliz Miranda-Rodriguez, Pablo Ciacco, Alessia Cabanes, Itziar Mancisidor, Aitziber |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_01462 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Quantum-Assisted Automatic Path-Planning for Robotic Quality Inspection in Industry 4.0 Osaba, Eneko Garrote, Estibaliz Miranda-Rodriguez, Pablo Ciacco, Alessia Cabanes, Itziar Mancisidor, Aitziber Robotics Artificial Intelligence Emerging Technologies 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. |
| title | Quantum-Assisted Automatic Path-Planning for Robotic Quality Inspection in Industry 4.0 |
| topic | Robotics Artificial Intelligence Emerging Technologies |
| url | https://arxiv.org/abs/2507.01462 |