During nuclear facility decommissioning, workers are continuously exposed to high-level radiation. Hence, adequate path planning is critical to protect workers from unnecessary radiation exposure. This work discusses recent development in radioactive path planning and the algorithms recommended for the task. Specifically, we review the conventional methods for nuclear decommissioning path planning, analyze the techniques utilized in developing algorithms, and enumerate the decision factors that should be considered to optimize path planning algorithms. As a major contribution, we present the quantitative performance comparison of different algorithms utilized in solving path planning problems in nuclear decommissioning and highlight their merits and drawbacks. Also, we discuss techniques and critical consideration necessary for efficient application of robots and robotic path planning algorithms in nuclear facility decommissioning. Moreover, we analyze the influence of obstacles and the environmental/radioactive source dynamics on algorithms' efficiency. Finally, we recommend future research focus and highlight critical improvements required for the existing approaches towards a safer and cost-effective nuclear-decommissioning project.

在核设施退役期间，工作人员持续暴露于高水平辐射。因此，适当的路径规划对于保护工人免受不必要的辐射照射至关重要。这项工作讨论了放射性路径规划的最新发展以及为该任务推荐的算法。具体来说，我们回顾了核退役路径规划的传统方法，分析了开发算法中使用的技术，并列举了优化路径规划算法应考虑的决策因素。作为主要贡献，我们介绍了用于解决核退役路径规划问题的不同算法的定量性能比较，并强调了它们的优缺点。还有，我们讨论了在核设施退役中有效应用机器人和机器人路径规划算法所需的技术和关键考虑因素。此外，我们分析了障碍物和环境/放射源动态对算法效率的影响。最后，我们建议未来的研究重点，并强调实现更安全和具有成本效益的核退役项目的现有方法所需的关键改进。