Review on Key Technologies of Automation Equipment in Extreme Radiation Environment

ZHANG Peidong; CAO Xin; LI Jiagen; ZHANG Yuhang; RONG Yu; JIAO Limin; ZHUANG Dajie; SUN Hongchao

doi:10.19554/j.cnki.1001-3563.2026.13.031

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (13) : 289-297. DOI: 10.19554/j.cnki.1001-3563.2026.13.031

Equipment Protection

Review on Key Technologies of Automation Equipment in Extreme Radiation Environment

ZHANG Peidong¹, CAO Xin², LI Jiagen², ZHANG Yuhang¹, RONG Yu¹, JIAO Limin¹, ZHUANG Dajie^1*, SUN Hongchao¹

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Abstract

The work aims to systematically summarize the technical progress, application bottlenecks and future trend of automation equipment in extreme radiation environment, and provide reference for related research and development and application. Firstly, the key technical system was sorted out. Secondly, the typical applications in nuclear facilities decommissioning, nuclear fuel cycle, waste treatment and radiation monitoring were summarized. Then, the latest research progress was reviewed from the dimensions of perception, control, execution and anti-radiation design; Finally, the main technical bottlenecks were revealed. Automation equipment has gradually developed from the early teleoperation manipulator to a semi-autonomous and intelligent system, and has achieved a series of application results in decommissioning and dismantling, fuel operation, waste packaging and radiation monitoring. However, the long-term reliability of radiation-resistant electronics and materials, accurate sensing and positioning in complex structural environment, human-computer interaction efficiency of remote operation, and system safety verification and regulatory recognition are the follow-up challenges. In the future, modularization, intelligence and collaboration will develop, and digital twinning, multimodal perception and AI decision-making will be deeply integrated. Breakthrough of anti-radiation devices, cross-domain technology integration and standardized verification system are the keys to promote its engineering application.

Key words

extreme radiation environment / automation equipment / multi-modal perception / cross-domain technology integration

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ZHANG Peidong, CAO Xin, LI Jiagen, ZHANG Yuhang, RONG Yu, JIAO Limin, ZHUANG Dajie, SUN Hongchao. Review on Key Technologies of Automation Equipment in Extreme Radiation Environment[J]. Packaging Engineering. 2026, 47(13): 289-297 https://doi.org/10.19554/j.cnki.1001-3563.2026.13.031

References

[1] ONSY MOHAMED A M. Enhancing Radioactive Waste Management with Cutting-Edge Digital Technologies: A Review[J]. Academia Engineering, 2024, 1(4): 1-24.
[2] 冯常, 王从政, 赵建平, 等. 核环境作业机器人研究现状及关键技术分析[J]. 光电工程, 2020, 47(10): 200338.
FENG C, WANG C Z, ZHAO J P, et al.Research Status and Key Technologies Analysis of Operating Robots for Nuclear Environment[J]. Opto-Electronic Engineering, 2020, 47(10): 200338.
[3] ANTONY JOSE S, LAPIERRE Z, WILLIAMS T, et al.Wear- and Corrosion-Resistant Coatings for Extreme Environments: Advances, Challenges, and Future Perspectives[J]. Coatings, 2025, 15(8): 878.
[4] JACQUES M B, RÄTY A, CABRERIZO J A R, et al. European Collaborations for Safe and Efficient Dismantling: Digital Twins, Ontology and Data Exchange[J]. EPJ Nuclear Sciences & Technologies, 2025, 11: 19.
[5] COSENTINO L, FAILLA C R, LONGHITANO F, et al.Sensor Systems for Radwaste Monitoring and Nuclear Decommissioning: Experience from the Euratom Projects MICADO, PREDIS, CLEANDEM[J]. Journal of Instrumentation, 2025, 20(6): C06075.
[6] CAO P C, HOUCK E K, D’ANDREA A, et al. Development of a Multi-Robot System for Autonomous Inspection of Nuclear Waste Tank Pits[J]. Applied Sciences, 2025, 15(17): 9307.
[7] MORICHI M, FANCHINI E, BREUIL E, et al.Developments and Experiences of the CHANCE, MICADO and PREDIS Projects in Radioactive Waste Characterization[J]. EPJ Nuclear Sciences & Technologies, 2023, 9: 1-11.
[8] XU B Y, ZHANG X H, OU Y, et al.High-Efficiency Inspecting Method for Mobile Robots Based on Task Planning for Heat Transfer Tubes in a Steam Generator[J]. Frontiers of Mechanical Engineering, 2023, 18(2): 25.
[9] CHEN Y, MA M H, LI B J, et al.Design and Application of Radioactive Decontamination System for Spent Fuel Storage Pool in HWRR Decommissioning[J]. Progress in Nuclear Energy, 2026, 192: 106158.
[10] ZHAO X G, WANG X Y, GOLAY M W.Bayesian Network-Based Fault Diagnostic System for Nuclear Power Plant Assets[J]. Nuclear Technology, 2023, 209(3): 401-418.
[11] YANG B, WANG W, CHEN G Q, et al.Improving Image-Based Weld Defects Detection under Interference Information via a Novel Semantic Supervision Strategy[J]. Nondestructive Testing and Evaluation, 2025, 40(7): 3138-3154.
[12] CHUNG Y S, BAEK M K, LEE S, et al.A Novel Directional Radiation Monitoring System for Real-Time Nuclide Identification and Source Localization Using DOI Method[J]. Nuclear Engineering and Technology, 2025, 57(10): 103710.
[13] ROSER J, LLOSÁ G.System Modeling and Image Reconstruction Algorithm Optimization for a Compton Camera for Hadron Therapy Range Verification[J]. The European Physical Journal Plus, 2025, 140(6): 561.
[14] JIANG Y, WEN L, FENG J, et al.Research on Proton Displacement Damage Effects in Charge-Domain Accumulation Type TDI CMOS Image Sensors[J]. Radiation Effects and Defects in Solids, 2024, 179(5/6): 811-822.
[15] PERROT J, MORANA A, MARIN E, et al.Radiation Vulnerability of Optical Fiber Cables for Underground Nuclear Waste Monitoring[J]. Optical Fiber Technology, 2025, 92: 104181.
[16] GNYRYA V S, TYURIN Y I, KASHAYKIN P F, et al.A Technique for Conducting of Reactor In-Situ Tests of Optical Fibres and FBG-Sensors Intended for In-Vessel Applications in Thermonuclear Facilities[J]. Fusion Engineering and Design, 2023, 191: 113787.
[17] HU X L, WANG J L, HUO J W, et al.3D Radiation Field Reconstruction for Multiple Unknown Radioactive Sources Based on Limited Measurements[J]. Annals of Nuclear Energy, 2025, 212: 111053.
[18] YOUNG K L, PHILLIPS C K, REYES M D, et al.Mission Results: Creating a 3D Map of a very High Radiation Confined Space Using the LiDAR-Equipped Elios 3 Drone[J]. Nuclear Science and Engineering, 2025, 199(8): 1351-1363.
[19] MATHESON E, BUONOCORE L R, DI GIOVANNANTONIO S, et al.Robotic Activities in Harsh Environments: Summary Of 2024 Interventions at CERN[C]//European Robotics Forum 2025. Cham: Springer, 2025: 206-212.
[20] MAO B J, ZHOU K Y, XIANG Y, et al.A Bioinspired Robotic Finger for Multimodal Tactile Sensing Powered by Fiber Optic Sensors[J]. Advanced Intelligent Systems, 2024, 6(8): 2470034.
[21] HASHIMOTO T, OFFICE E, TAZAKI Y, et al.Experimental Evaluation of Manipulator Teleoperation System Based on Trajectory Planning for Obstacle Removal Task in Nuclear Plant Decommissioning[J]. Journal of Robotics and Mechatronics, 2024, 36(1): 49-62.
[22] LIU W X, CALISKANELLI I, NIU H L, et al.A Survey on Object-Oriented Assembly and Disassembly Operations in Nuclear Applications[J]. Big Data and Cognitive Computing, 2025, 9(5): 118.
[23] RAN F H, CHEN S Q, HUANG S, et al.Design of a Foreign Object Retrieval Robot for the Internal Lower Head of a Nuclear Power Plant Pressurizer[J]. Nuclear Engineering and Design, 2026, 449: 114785.
[24] CHENG Y, LU K, PAN H T, et al.Research on the Inverse Kinematics of Heavy-Load Manipulator and End-Effector for Fusion Reactor[J]. Nuclear Engineering and Technology, 2025, 57(4): 103278.
[25] ISKANDAR M, ALBU-SCHÄFFER A, DIETRICH A. Intrinsic Sense of Touch for Intuitive Physical Human-Robot Interaction[J]. Science Robotics, 2024, 9(93): eadn4008.
[26] DO Y, ZEBROWITZ M, STAHL J, et al.IFANnpp: Nuclear Power Plant Digital Twin for Robots and Autonomous Intelligence[J]. Annals of Nuclear Energy, 2026, 227: 111993.
[27] LIU S Q, LIANG L Z, HU C D, et al.Research on Visual Operation and Maintenance Platform of Accelerator Neutron Source Driven by Digital Twins[J]. Expert Systems with Applications, 2025, 284: 127866.
[28] ABU SUFIAN M, BALEINE E, GELDMEIER J, et al.Light Transmission through a Hollow Core Fiber Bundle[J]. IEEE Journal of Selected Topics in Quantum Electronics, 2024, 30(6): 1-8.
[29] JOURNEAU C, BOUYER V, DENOIX A, et al.Some CEA Research Activities in Support of Fukushima Daiichi Fuel Debris Retrieval[J]. Nuclear Engineering and Design, 2025, 443: 114333.
[30] TOZAKI S, OFFICE E, MIURA R, et al.Development of a Debris Recovery Robot in the Narrow Space Inside the Reactor Building[J]. Journal of Robotics and Mechatronics, 2026, 38(1): 175-191.
[31] REN R, GUO Y P, ZHANG X W, et al.Design and Application of a Special Underwater Cutting Device for the Decommissioning of the First HWRR Reactor in China[J]. Nuclear Engineering and Design, 2023, 415: 112678.
[32] SHI J L, ABAD S A, MENCIASSI A, et al.Miniaturised Soft Manipulators with Reinforced Actuation Chambers on the Sub-Centimetre Scale[C]//2024 IEEE 7th International Conference on Soft Robotics (RoboSoft). San Diego, CA, USA. IEEE, 2024: 157-164.
[33] VITANOV I, FARKHATDINOV I, DENOUN B, et al.A Suite of Robotic Solutions for Nuclear Waste Decommissioning[J]. Robotics, 2021, 10(4): 112.
[34] LI L, JIN D C, YANG H, et al.Application of Isomorphic Remote Manipulators with Haptic Feedback in the Development of Automatic Analysis Equipment for Spent Fuel Reprocessing Samples[J]. International Journal of Advanced Nuclear Reactor Design and Technology, 2025, 7(3): 331-340.
[35] TORTAJADA S, ALBIOL F, CABALLERO L, et al.A Portable Geometry-Independent Tomographic System for Gamma-Ray, a Next Generation of Nuclear Waste Characterization[J]. Scientific Reports, 2023, 13: 12284.
[36] BOND W, HAYES M, SIMPSON R, et al.Development of an Approach for Monitoring Intermediate Level Nuclear Waste Using Thermal Imaging and Gamma Testing of Thermal Imager[J]. IEEE Transactions on Nuclear Science, 2024, 71(5): 960-969.
[37] HESU A, KIM S, ZHANG F.Preference-Based Multi-Robot Planning for Nuclear Power Plant Online Monitoring and Diagnostics[J]. Nuclear Science and Engineering, 2025, 199(8): 1292-1309.
[38] ARDINY H, BEIGZADEH A, MAHANI H.Applications of Unmanned Aerial Vehicles in Radiological Monitoring: A Review[J]. Nuclear Engineering and Design, 2024, 422: 113110.
[39] SLANINA Z, DANYS L, JAROS R, et al.VLC-Enhanced Autonomous Rail Vehicle for Nuclear Waste Disposal[J]. Nuclear Engineering and Technology, 2025, 57(8): 103543.
[40] CAI Y W, WANG X K.Recent Progress in Nuclear Radiation Detection Technology and Device[J]. Journal of Instrumental Analysis, 2024, 43(10): 1512-1524.
[41] CHANG Y L, ZOU S L, LIN G, et al.Research on Radiation Damage and Reinforcement of Control and Sensing Systems in Nuclear Robots[J]. Electronics, 2024, 13(7): 1214.
[42] WEI L F, DONG C H, WEN Z W, et al.Design of Radiation Resistant Pre-Amplifier for Fusion Reactors[J]. Fusion Engineering and Design, 2023, 188: 113407.
[43] CHEN Y W, LI Y G, XIE Y J, et al.Replacement Strategy for Aging Nuclear Power Instrumentation and Control Equipment Based on Life Margin[J]. Nuclear Technology, 2025, 211(8): 1860-1874.
[44] WATANOBE Y, KABIR R, AOBA R, et al.Disaster Rescue via Multi-Robot Collaboration: Development, Control, and Deployment[J]. Journal of Robotics and Mechatronics, 2023, 35(1): 85-98.
[45] KHAN Z, NASIR A, MEKID S.Fault-Tolerant Control Strategies for Industrial Robots: State of the Art and Future Perspective on AI-Based Fault Management[J]. Artificial Intelligence Review, 2025, 58(11): 362.
[46] SETHU M, KOTLA B, RUSSELL D, et al.Application of Artificial Intelligence in Detection and Mitigation of Human Factor Errors in Nuclear Power Plants: A Review[J]. Nuclear Technology, 2023, 209(3): 276-294.
[47] PARK S Y, LEE C, JEONG S, et al.Digital Twin and Deep Reinforcement Learning-Driven Robotic Automation System for Confined Workspaces: A Nozzle Dam Replacement Case Study in Nuclear Power Plants[J]. International Journal of Precision Engineering and Manufacturing-Green Technology, 2024, 11(3): 939-962.