Course on Trajectory Modelling in Radiological Environments
Online course of 300 h in Trajectory Modelling in Radiological Environments. 6 modules covering ICRP Publication 103 (ALARA optimisation principle), Directive 2013/59/Euratom (basic safety standards) and ROS 2 (MoveIt). 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
Model simple radiation fields from known sources and shielding.
Understand the fundamentals of trajectory planning for mobile robots and manipulators.
Formulate planning problems with accumulated dose as the cost function.
Apply search and optimisation algorithms to obtain minimum-dose trajectories.
Integrate kinematic and safety constraints into manipulator trajectories.
Use simulation and virtual reality environments to validate trajectories.
Develop a trajectory planning project applying the ALARA principle.
Who it's for
- Nuclear robotics engineer looking to specialise in Trajectory Modelling in Radiological Environments.
- ALARA planning specialist looking to specialise in Trajectory Modelling in Radiological Environments.
- Simulation and virtual reality engineer looking to specialise in Trajectory Modelling in Radiological Environments.
- Operational radiation protection technician looking to specialise in Trajectory Modelling in Radiological Environments.
- Researcher in robotics for hostile environments looking to specialise in Trajectory Modelling in Radiological Environments.
- Decommissioning engineer looking to specialise in Trajectory Modelling in Radiological Environments.
- Engineering or science graduates looking to move into nuclear decommissioning.
What you'll work with
- ICRP Publication 103 (ALARA optimisation principle)
- Directive 2013/59/Euratom (basic safety standards)
- ISO 10218-1 (safety of industrial robots)
- ISO 17874 (remote handling devices for radioactive materials)
- IAEA GSR Part 3 (radiation protection and safety of radiation sources)
- IEC 61508 (functional safety)
- Regulation (EU) 2023/1230 (machinery)
6 modules · 300 h
1.1Dose rate and accumulated dose1.2Point, line and volume sources1.3Attenuation and the inverse-square law1.4Build-up factor1.5Radiation maps from measurements1.6Spatial interpolation by kriging1.7Uncertainty in dose maps1.8Point-kernel codes1.9Representation in occupancy grids1.10Practice: dose map with kriging
2.1Configuration space2.2Graphs and Dijkstra's algorithm2.3A* and admissible heuristics2.4PRM and RRT sampling methods2.5RRT* and asymptotic optimality2.6Trajectory optimisation with CHOMP and TrajOpt2.7Kinematic and dynamic constraints2.8Trajectory smoothing2.9Multi-objective planning2.10Workshop: A* on a cost grid
3.1Accumulated-dose cost functions3.2Trade-off between time and dose3.3Planning under radiological uncertainty3.4ALARA routes for personnel3.5Active exploration to map sources3.6Information-based source search3.7Replanning for changing sources3.8Multi-robot coverage3.9Dose limits of the robot itself3.10Lab: minimum-dose route in ROS
4.1Manipulators in hot cells4.2Collision avoidance in confined spaces4.3Umbilical cable constraints4.4Cutting and segmentation trajectories4.5Planning with MoveIt4.6Trajectory-assisted teleoperation4.7Virtual fixtures4.8Dynamics and trajectory tracking4.9Validation in simulation4.10Practice: cutting trajectory with MoveIt
5.1Radiological digital twins5.2Dose simulation in 3D environments5.3Virtual reality for ALARA planning5.4Operator training5.5Integration with Monte Carlo calculations5.6Validation with real measurements5.7The Fukushima and Sellafield cases5.8Human factors5.9Presenting plans to the regulator5.10Case study: planning an intervention in virtual reality
6.1Defining the environment and the sources6.2Building the radiological map6.3Choosing the planning algorithm6.4Implementing the dose cost6.5Trajectory simulation6.6Comparison with conventional routes6.7Sensitivity analysis6.8Operational recommendations6.9Report 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 (MoveIt), Gazebo, MATLAB Robotics System Toolbox, Geant4, Unity, in free, academic or trial versions. Testing is studied through real procedures from simulation of dose fields in virtual environments, trajectory planning with laboratory robots, virtual reality for intervention rehearsal. 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.
Model simple radiation fields from known sources and shielding.
Understand the fundamentals of trajectory planning for mobile robots and manipulators.
Formulate planning problems with accumulated dose as the cost function.
Apply search and optimisation algorithms to obtain minimum-dose trajectories.
Integrate kinematic and safety constraints into manipulator trajectories.
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 (MoveIt), Gazebo, MATLAB Robotics System Toolbox, Geant4, Unity. 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 credit recognition policy when you enrol.
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