Design, protection, perception and planning of mobile robots in nuclear power plants

IF 3.3 3区工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY

Progress in Nuclear Energy Pub Date : 2025-04-27 DOI:10.1016/j.pnucene.2025.105821

De Zhang , Yan Jiang , Jun Liu , Guokai Xiong , Shuliang Zou

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Abstract

Mobile robots in nuclear (MRiN) has become a multidisciplinary research field that integrates numerous technologies (e.g., nuclear technology, robotic, advanced material, artificial intelligence and construction), resulting in fragmented yet extensive related literatures. In this paper, a hybrid methodology combining bibliometric analysis with qualitative discussion is proposed to explore the advancements in MRiN over the past two decades. Four research hotspots, namely design, protection, perception and planning, are identified through quantitative bibliometric analysis employing data statistics and cluster analysis. Subsequent the qualitative discussions of the four hotspots highlight recent achievements and reveal research gaps in MRiN. Furthermore, five future research directions are proposed: 1) in-depth integration of radiation information, building information modeling (BIM), with robotics; 2) novel approaches for locating radioactive sources in complex environments; 3) multi-objective optimization of shielding structures for sensitive components; 4) advanced multi-robot collaboration for concurrent operations; 5) immersive digital twin (DT) technology combined with deep reinforcement learning (DRL) for MRiN operations. By identifying current research themes and technological trends in nuclear robotics, while providing strategic insights for MRiN's future development, this research can serve both academia and industry in terms of promoting robotics technology and computer science in nuclear industry.

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核电站移动机器人的设计、保护、感知与规划

核移动机器人（MRiN）已经成为一个多学科研究领域，融合了众多技术（如核技术、机器人、先进材料、人工智能和建筑），相关文献零散而广泛。本文提出一种结合文献计量分析和定性讨论的混合方法来探讨MRiN在过去二十年中的进展。采用数据统计和聚类分析的定量文献计量分析方法，确定了设计、保护、感知和规划四个研究热点。随后对这四个热点的定性讨论突出了MRiN的最新成就，并揭示了MRiN的研究空白。提出了未来的五个研究方向：1)辐射信息、建筑信息模型（BIM）与机器人技术的深度融合；2)复杂环境中放射源定位新方法；3)敏感元件屏蔽结构的多目标优化；4)先进的多机器人协同并行作业；5)沉浸式数字孪生（DT）技术与MRiN操作的深度强化学习（DRL）相结合。本研究通过识别当前核机器人的研究主题和技术趋势，同时为核磁共振成像的未来发展提供战略见解，可以在促进核工业机器人技术和计算机科学方面为学术界和工业界提供服务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Progress in Nuclear Energy 工程技术-核科学技术

CiteScore

5.30

自引率

14.80%

发文量

331

审稿时长

3.5 months

期刊介绍： Progress in Nuclear Energy is an international review journal covering all aspects of nuclear science and engineering. In keeping with the maturity of nuclear power, articles on safety, siting and environmental problems are encouraged, as are those associated with economics and fuel management. However, basic physics and engineering will remain an important aspect of the editorial policy. Articles published are either of a review nature or present new material in more depth. They are aimed at researchers and technically-oriented managers working in the nuclear energy field. Please note the following: 1) PNE seeks high quality research papers which are medium to long in length. Short research papers should be submitted to the journal Annals in Nuclear Energy. 2) PNE reserves the right to reject papers which are based solely on routine application of computer codes used to produce reactor designs or explain existing reactor phenomena. Such papers, although worthy, are best left as laboratory reports whereas Progress in Nuclear Energy seeks papers of originality, which are archival in nature, in the fields of mathematical and experimental nuclear technology, including fission, fusion (blanket physics, radiation damage), safety, materials aspects, economics, etc. 3) Review papers, which may occasionally be invited, are particularly sought by the journal in these fields.