Course on Emerging Technologies in Remote Maintenance
Online course of 300 h in Emerging Technologies in Remote Maintenance. 6 modules covering ISO 17874 (remote handling devices for radioactive materials), IEC 61508 (functional safety) and ROS 2. Dedicated tutor and enrolment open.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Describe the emerging technologies applied to remote maintenance.
Apply digital twins to the planning of remote interventions.
Evaluate the use of virtual and augmented reality in teleoperated tasks.
Analyse data-driven predictive maintenance techniques.
Assess the cybersecurity of remote systems under IEC 62443.
Integrate radiation protection requirements into task design.
Propose a technology roadmap for a specific facility.
Who it's for
- Remote maintenance engineer looking to specialise in Emerging Technologies in Remote Maintenance.
- Digital twin engineer looking to specialise in Emerging Technologies in Remote Maintenance.
- Nuclear robotics engineer looking to specialise in Emerging Technologies in Remote Maintenance.
- Predictive maintenance specialist looking to specialise in Emerging Technologies in Remote Maintenance.
- Industrial virtual reality engineer looking to specialise in Emerging Technologies in Remote Maintenance.
- Researcher in remote handling technologies looking to specialise in Emerging Technologies in Remote Maintenance.
- Engineering or science graduates looking to move into the nuclear industry.
What you'll work with
- ISO 17874 (remote handling devices for radioactive materials)
- IEC 61508 (functional safety)
- IEC 62443 (cybersecurity of industrial systems)
- ISO 13849-1 (safety-related parts of control systems)
- ISO 10218-1 (safety of industrial robots)
- IAEA GSR Part 3 (radiation protection)
6 modules · 300 h
1.1The need for remote maintenance: dose and contamination1.2Hot cells and master-slave manipulators1.3Experience gained at JET and Sellafield1.4Design for remote maintainability1.5The ALARA principle in intervention planning1.6Task types: inspection, replacement and repair1.7Radiation tolerance of electronics1.8Standard interfaces and interchangeable tools1.9Availability indicators and outage duration1.10Case study: module replacement at JET
2.1Radiation-hardened robotic arms2.2High-payload hydraulic manipulators2.3Snake robots for confined access2.4Tracked and legged mobile platforms2.5Force and impedance control in contact2.6End effectors for cutting, welding and gripping2.7Remote laser and water-jet cutting2.8Remote orbital pipe welding2.9Kinematic calibration under deflection2.10Lab: trajectory planning with MoveIt
3.1Digital twin of the facility3.2Task simulation in virtual environments3.3Augmented reality for operator guidance3.43D reconstruction with LiDAR and photogrammetry3.5Dose maps integrated into the model3.6Intervention planning with dose calculation3.7Real-time collision detection3.8Immersive operator training3.9Synchronising sensors and the model3.10Practice: simulating a task with a dose map
4.1Shared autonomy and supervisory control4.2Machine vision with radiation-induced noise4.3Object recognition and pose estimation4.4Reinforcement learning for manipulation4.5SLAM in GNSS-denied environments4.6Anomaly detection in inspection data4.7Predictive maintenance of remote equipment4.8Explainability and operator trust4.9Verification of autonomous systems in nuclear4.10Workshop: defect detection in inspection images
5.1Remote handling at ITER: divertor and blanket5.2ITER hot cell and transfer system5.3Decommissioning of Fukushima Daiichi5.4Waste characterisation with robots at Sellafield5.5Inspection of reactor vessels and steam generators5.6DEMO remote maintenance strategy5.7Wireless communications in shielded enclosures5.8Qualification and licensing of robotic equipment5.9Lessons learned from robotic failures5.10Case study: retrieval of fuel debris
6.1Selecting the task and the facility6.2Analysis of environmental conditions and dose6.3Functional system requirements6.4Selection of robotics and sensors6.5Conceptual tool design6.6Simulation of the intervention6.7Risk and failure mode assessment6.8Estimation of collective dose avoided6.9Report and presentation6.10Final review with the tutor
How you'll learn
100% online training on the SEIUM campus, with downloadable materials, recorded classes and a dedicated technical tutor. No fixed timetable: students progress at their own pace within the intake period, making it easy to combine with work.
Each module combines theory, guided reading of the original standards and applied exercises. The software used is ROS 2, Unity (gemelos digitales), Siemens NX, MATLAB/Simulink, Python (scikit-learn), in free, academic or trial versions. Testing is studied through real procedures from remote maintenance mock-ups, virtual reality environments for task planning, predictive maintenance trials with sensor data. Assessment is continuous for each module, plus a final capstone project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Describe the emerging technologies applied to remote maintenance.
Apply digital twins to the planning of remote interventions.
Evaluate the use of virtual and augmented reality in teleoperated tasks.
Analyse data-driven predictive maintenance techniques.
Assess the cybersecurity of remote systems under IEC 62443.
Where this takes you
Requirements
- No previous qualification is required.
- An internet connection and a computer able to run the programme software.
- A level of English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 300 hours spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
You will work with ROS 2, Unity (gemelos digitales), Siemens NX, MATLAB/Simulink, Python (scikit-learn). Free, academic or trial versions are used, and your tutor will point out a free alternative where one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the capstone project. It is SEIUM's own qualification, not an official state-accredited degree.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Check the recognition policy when you enrol.
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