{"ID":2899066,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.01462","arxiv_id":"2507.01462","title":"Quantum-Assisted Automatic Path-Planning for Robotic Quality Inspection in Industry 4.0","abstract":"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.","short_abstract":"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...","url_abs":"https://arxiv.org/abs/2507.01462","url_pdf":"https://arxiv.org/pdf/2507.01462v1","authors":"[\"Eneko Osaba\",\"Estibaliz Garrote\",\"Pablo Miranda-Rodriguez\",\"Alessia Ciacco\",\"Itziar Cabanes\",\"Aitziber Mancisidor\"]","published":"2025-07-02T08:21:52Z","proceeding":"cs.RO","tasks":"[\"cs.RO\",\"cs.AI\",\"cs.ET\"]","methods":"[]","has_code":false}