Summary

Robotic systems have become indispensable for operations in nuclear environments, where extreme radiation, confined spaces and contamination risk render human intervention hazardous. These systems encompass remotely operated platforms, autonomous mobile robots and integrated sensor suites designed for inspection, maintenance, decommissioning and waste handling. Advances in materials science, radiation-hardened electronics and manipulator design have improved reliability under high-dose conditions, while developments in autonomy and artificial intelligence enable complex decision-making and adaptive control. Cyber-physical integration and digital-twin technology now facilitate real-time monitoring and mission planning, reducing operator burden and enhancing situational awareness. Modular architectures allow rapid reconfiguration of payloads, from imaging and dosimetry sensors to cutting and sampling tools, supporting a broad spectrum of tasks including spent-fuel pool inspection, reactor vessel assessment and dismantling of legacy facilities. Global deployments demonstrate significant gains in safety, operational efficiency and cost reduction, marking a transition from proof-of-concept studies to routine industrial use.

Research from Nature Portfolio

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Research from all publishers

Recent developments include the creation of a multimodal immersive digital-twin platform for fleets of nuclear-environment robots. By integrating building information models with live sensor streams and mission parameters, operators can conduct simulated inspection missions within a 3D virtual environment, refining interface design through heuristic evaluation and user feedback from leading research institutions. Another advance is the design of a reconfigurable unmanned ground vehicle capable of mounting a variety of nuclear sensors for flexible, modular inspection tasks during decommissioning. Real-site trials demonstrated improved operational management and hazard reduction, with rapid mounting and exchange of radiometric, visual and environmental payloads. A third strand of work addresses radiation tolerance of robotic manipulators: by exposing modern electronic components and actuators to controlled gamma fields, researchers have established methodologies for pre-deployment testing, quantifying performance degradation at dose rates representative of high-level waste handling. This approach informs selection of components and shielding strategies, ensuring sustained reliability in the most extreme conditions.

Robotic Systems for Nuclear Applications publication trend

The graph below shows the total number of articles in robotic systems for nuclear applications across all publications each year (not limited to Nature Index journals).

Technical terms

Digital twin: A virtual representation of a physical system that synchronises real-time data to enable simulation, monitoring and prediction.

Unmanned Ground Vehicle (UGV): A ground-based robotic platform operated remotely or autonomously for tasks in hazardous or inaccessible areas.

Cyber-physical system: An integration of computational algorithms and physical components that interact through networks to achieve coordinated behaviour.

Radiation tolerance: The capacity of electronic and mechanical components to maintain functionality after exposure to ionising radiation.

References

  1. Multimodal immersive digital twin platform for cyber–physical robot fleets in nuclear environments. Journal of Field Robotics (2024).
  2. A Reconfigurable UGV for Modular and Flexible Inspection Tasks in Nuclear Sites. Robotics (2024).
  3. Radiation Tolerance Testing Methodology of Robotic Manipulator Prior to Nuclear Waste Handling. Frontiers in Robotics and AI (2020).

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