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Course on Ethics in Nuclear Robotic Autonomy

Online course of 300 h in Ethics in Nuclear Robotic Autonomy. 6 modules covering Regulation (EU) 2024/1689 (Artificial Intelligence Act), IEEE 7000 (ethical considerations in system design) and ROS. Dedicated tutor and enrolment open.

Duration300 h
ModeOnline
Start datesOctober / March
LocationEurope (Madrid)
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Describe the levels of autonomy in nuclear robotics.

02

Apply ethical foundations to autonomous decision-making.

03

Explain assurance and verification techniques for autonomous systems.

04

Analyse regulatory and governance frameworks for autonomy.

05

Evaluate human-robot interaction and its social impact.

06

Identify accountability dilemmas in autonomous failures.

07

Produce an ethical assessment of an autonomous system.

Profile

Who it's for

  • Robotics ethics specialist looking to specialise in Ethics in Nuclear Robotic Autonomy.
  • Autonomous systems assurance engineer looking to specialise in Ethics in Nuclear Robotic Autonomy.
  • Nuclear robotics engineer looking to specialise in Ethics in Nuclear Robotic Autonomy.
  • Technology governance manager looking to specialise in Ethics in Nuclear Robotic Autonomy.
  • Regulatory analyst looking to specialise in Ethics in Nuclear Robotic Autonomy.
  • Human-robot interaction researcher looking to specialise in Ethics in Nuclear Robotic Autonomy.
  • Engineering or science graduates looking to move into intervention robotics.
Standards & tools

What you'll work with

  • Regulation (EU) 2024/1689 (Artificial Intelligence Act)
  • IEEE 7000 (ethical considerations in system design)
  • ISO 10218 (safety of industrial robots)
  • IEC 61508 (functional safety)
  • ISO/IEC 42001 (AI management systems)
  • UL 4600 (safety of autonomous products)
Syllabus

6 modules · 300 h

  1. 1.1Levels of autonomy in field robotics
  2. 1.2Teleoperation, shared and supervised autonomy
  3. 1.3Applications: inspection, decommissioning and handling
  4. 1.4Autonomous robots at Sellafield and JET
  5. 1.5Underwater vehicles in fuel pools
  6. 1.6Drones for radiological mapping
  7. 1.7Autonomous navigation in degraded environments
  8. 1.8Radiation-imposed limits on autonomy
  9. 1.9Conceptual framework of artificial agency
  10. 1.10Case study: autonomous inspection of a waste store
  1. 2.1Moral agency and artificial agency
  2. 2.2Meaningful human control
  3. 2.3The precautionary principle
  4. 2.4Beneficence: removing people from harm
  5. 2.5Non-maleficence and new risks
  6. 2.6Justice in the distribution of risks
  7. 2.7Worker autonomy and dignity
  8. 2.8Machine ethics: top-down and bottom-up approaches
  9. 2.9Distributed responsibility
  10. 2.10Workshop: ethical analysis of an autonomous mission
  1. 3.1Formal verification of autonomous behaviour
  2. 3.2Safety cases for autonomous systems
  3. 3.3UL 4600 and safety arguments
  4. 3.4IEC 61508 and SIL levels
  5. 3.5IEC 61513 in nuclear instrumentation
  6. 3.6Validation of learning-based perception
  7. 3.7Runtime monitoring
  8. 3.8Managing emergent behaviours
  9. 3.9The RAIN programme and nuclear robotics in the UK
  10. 3.10Practice: GSN structure of a safety case
  1. 4.1ONR and NRC positions on autonomous robotics
  2. 4.2The EU AI Act applied to robots
  3. 4.3The Machinery Regulation and autonomy
  4. 4.4ISO 13482 and IEEE 7000 standards
  5. 4.5OECD AI ethics principles
  6. 4.6Certification of robots for radioactive areas
  7. 4.7Civil liability for damage caused by robots
  8. 4.8Insurance and operator liability
  9. 4.9Ethical auditing of autonomous systems
  10. 4.10Case study: licensing an autonomous decommissioning robot
  1. 5.1Trust in autonomous robots
  2. 5.2Robot transparency and explainability
  3. 5.3Supervision interfaces and taking back control
  4. 5.4Acceptance by workers
  5. 5.5Public perception of nuclear robots
  6. 5.6Autonomy in radiological emergencies
  7. 5.7Dual use of autonomous robotics
  8. 5.8Protection of data captured by the robot
  9. 5.9Impact on safety culture
  10. 5.10Workshop: designing a take-back-control protocol
  1. 6.1Definition of the autonomous robotic system
  2. 6.2Mission and environment analysis
  3. 6.3Identification of technical and ethical risks
  4. 6.4Designing the appropriate level of autonomy
  5. 6.5Safety argument and verification
  6. 6.6Accountability and governance framework
  7. 6.7Deployment recommendations
  8. 6.8Summary of conclusions
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

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, UPPAAL (formal verification), NVivo, MATLAB/Simulink, in free, academic or trial versions. Testing is studied through real procedures from safety assurance cases, formal verification of autonomous behaviours, and ethical assessment workshops. Assessment is continuous for each module, plus a final capstone project.

Accredited laboratories(EN ISO/IEC 17025) with a rotor rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as its pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Definition of the autonomous robotic system

Describe the levels of autonomy in nuclear robotics.

Mission and environment analysis

Apply ethical foundations to autonomous decision-making.

Identification of technical and ethical risks

Explain assurance and verification techniques for autonomous systems.

Designing the appropriate level of autonomy

Analyse regulatory and governance frameworks for autonomy.

Safety argument and verification

Evaluate human-robot interaction and its social impact.

Career opportunities

Where this takes you

Robotics ethics specialistAutonomous systems assurance engineerNuclear robotics engineerTechnology governance managerRegulatory analystHuman-robot interaction researcher
Admissions & scholarships

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.

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FAQ

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, UPPAAL (formal verification), NVivo, MATLAB/Simulink. 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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