标题： 量子辅助的工业4.0中机器人质量检测的自动路径规划 显示英文标题

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

摘要： 这项工作探讨了混合量子-经典算法在工业环境中优化从计算机辅助设计（CAD）模型派生的机器人检测轨迹的应用。 通过将任务建模为旅行商问题的三维变体，结合不完整图和开放路线约束，本研究评估了两种基于D-Wave的求解器与经典方法如GUROBI和Google OR-Tools的性能。 五个实际案例的结果表明，解决方案质量具有竞争力，计算时间显著减少，突显了量子方法在工业4.0下自动化的潜力。 显示英文摘要

摘要： 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.