Master’s in Navigation and SLAM for AMRs
Online master's programme of 1,900 hours in navigation and SLAM for AMRs: lidar/vision, shop-floor planning and precision docking. 12 modules covering ISO 10218-1 and -2, ISO/TS 15066, ISO 13849 and ROS 2, with an assigned technical tutor.
Master’s in Navigation and SLAM for AMRs — studying from the United States
Robotics and industrial automation are growing rapidly in the United States, with research centers and companies concentrated in Massachusetts, California, Pennsylvania and Michigan. Manufacturers across automotive, electronics, food processing and logistics deploy robots and control systems to improve productivity and safety. Universities and national programs support advances in collaborative robotics, motion control and AI-driven automation. Engineers work on control theory, sensors, programming and system integration.
Fees for the United States: US$6,610 (US Dollars), with instalments and employer sponsorship available.
Relevant bodies in the United States
Typical roles
Questions from the United States
Which US bodies are relevant to robotics and control engineering?
Key bodies include IEEE, particularly its Robotics and Automation Society, and ISA (International Society of Automation). Industrial safety standards are referenced through A3, the Association for Advancing Automation. Professional PE licensure is issued by state boards where required. SEIUM's private qualifications are not accredited, so employers decide how to value them.
Where do robotics and automation engineers work in the United States?
Employers include robotics companies, automotive and electronics manufacturers, warehouse automation firms, and research labs. Roles include controls engineer, robotics software engineer, and automation specialist. Employers typically assess portfolios, programming skills, and project experience, so build visible work to accompany your qualification.
How much English and time commitment does the programme require?
Programmes are taught fully in English, so strong written and spoken English is needed. They are 100% online, so you study from home without a student visa. Workloads are 300, 800, or 1,900 hours depending on the programme. An assigned technical tutor supports you, and fees can be paid in instalments.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Master the technical fundamentals of navigation and SLAM for AMRs: lidar/vision, shop-floor planning and precision docking and the regulatory vocabulary that goes with it.
Apply ISO 10218-1 and -2, ISO/TS 15066 (collaborative operation) and ISO 13849 to real design and validation decisions.
Build and correlate calculation models with ROS 2 and MoveIt.
Plan and run test campaigns in a collaborative robot cell and on a 3D vision bench.
Analyse operating data and turn it into engineering decisions.
Prepare the technical and compliance dossier required by the client or the regulator.
Lead a project in navigation and SLAM for AMRs: lidar/vision, shop-floor planning and precision docking technically from start to finish.
Who it's for
- Robotics engineers looking to specialise in navigation and SLAM for AMRs: lidar/vision, shop-floor planning and precision docking.
- PLC programmers moving into advanced robotic applications.
- Machine vision specialists.
- Control engineers.
- Robotic cell integrators.
- Automation managers.
- Engineering or science graduates seeking to enter manufacturing.
What you'll work with
- ISO 10218-1 and -2 (safety of industrial robots and robot systems)
- ISO/TS 15066 (collaborative robot operation)
- ISO 13849 (safety-related parts of machine control systems)
- IEC 62061 (functional safety of machinery control systems)
- ISO 3691-4 (AGV/AMR) (driverless industrial trucks)
- IEC 61131-3 (PLC programming languages)
- ISO 9283 (industrial robot performance criteria and test methods)
- IEC 62443 (industrial automation and control system security)
- Machinery Regulation (EU) 2023/1230 (EU safety requirements for machinery)
- ROS 2
- MoveIt
- Gazebo
- NVIDIA Isaac Sim
- MATLAB/Simulink
12 modules
1.1Fundamental concepts and quantities of Navigation and SLAM for AMRs1.2Technology landscape and state of the art1.3Technical terminology and reference documentation1.4Physical and engineering principles applied to the case1.5Functional architecture: from requirements to components1.6Interfaces and dependencies with adjacent systems1.7Typical use cases in the sector1.8Common errors and how to detect them in time1.9Data sources and quality criteria1.10Guided initial diagnosis exercise
2.1Applicable regulatory framework: overview2.2Regulatory hierarchy and conflicts between standards2.3Mandatory requirements versus good practice2.4Acceptance criteria and required evidence2.5Technical documentation and traceability2.6Change management and configuration control2.7Audits, inspections and non-conformities2.8Responsibilities and division of scope2.9Interpretation of critical clauses2.10Exercise: regulatory checklist
3.1Setting up the model: assumptions and simplifications3.2Selection of tools and working environment3.3Preparation of input data3.4Workflow and good modelling practice3.5Discretisation and case preparation3.6Boundary conditions and load cases3.7Convergence control and numerical verification3.8Sensitivity analysis and parametric study3.9Automation and model reuse3.10Exercise: building a baseline model
4.1Reduced-order and detailed models4.2Coupling between physical domains4.3Parameter calibration with real data4.4Uncertainty propagation4.5Multi-objective optimisation4.6Digital twins and models in operation4.7Computational cost and calculation strategies4.8Cross-validation of results4.9Model documentation and versioning4.10Exercise: complete simulation campaign
5.1Design requirements and starting criteria5.2Solution alternatives and comparative analysis5.3Sizing and safety margins5.4Selection of materials, equipment or components5.5Integration with the rest of the system5.6Cost, schedule and manufacturing constraints5.7Reliability, maintainability and service life5.8Sustainability and efficiency in design5.9Design review and risk management5.10Exercise: documented design proposal
6.1Material families and selection criteria6.2Critical components and their failure modes6.3Manufacturing processes and their limits6.4Tolerances, fits and dimensional control6.5Treatments, coatings and protection6.6Emerging technologies applicable to Navigation and SLAM for AMRs6.7Obsolescence and continuity of supply6.8Environmental footprint and circular economy6.9Approval of components and suppliers6.10Exercise: comparative technical data sheet
7.1System architecture and functional decomposition7.2Interface definition and control7.3Protocols and data exchange7.4Progressive integration and interface testing7.5Electromagnetic and environmental compatibility7.6Configuration management of the integrated system7.7Resolving conflicts between subsystems7.8Commissioning and tuning of the integrated system7.9Traceability from requirements to verification7.10Exercise: interface matrix
8.1Hazard identification and preliminary analysis8.2Failure modes and effects analysis8.3Fault trees and quantitative analysis8.4Allocation of reliability targets8.5Barriers, redundancies and fault tolerance8.6Human factors and operating errors8.7Safety evidence and argumentation8.8Risk management throughout the life cycle8.9Indicators and monitoring in operation8.10Exercise: risk analysis of a case
9.1Verification and validation strategy9.2Test plan: scope and coverage9.3Instrumentation and data acquisition9.4Laboratory testing versus field testing9.5Correlation between model and measurement9.6Handling uncertainty and tolerances9.7Failure analysis and corrective actions9.8Commissioning and acceptance criteria9.9Documentation of the validation file9.10Exercise: validation report
10.1Commissioning and handover to operation10.2Preventive and predictive maintenance plans10.3Condition monitoring and diagnostics10.4Spare parts, logistics and availability10.5Obsolescence management and upgrades10.6Availability and performance indicators10.7Life-cycle cost10.8Life extension and repowering10.9Decommissioning and end of life10.10Exercise: maintenance plan
11.1Scope, schedule and cost of the technical project11.2Estimating and budget control11.3Procurement and supplier relations11.4Technical teams and communication11.5Technical and economic feasibility analysis11.6Environmental and social criteria11.7Sustainability regulations and reporting11.8Change management and stakeholders11.9Project close-out and lessons learned11.10Exercise: business case
12.1Choice of topic and scope of the work12.2State of the art and review of sources12.3Problem statement and objectives12.4Applied research methodology12.5Technical development supervised by the thesis director12.6Analysis of results and discussion12.7Conclusions and future lines of work12.8Writing the thesis report12.9Preparing the defence12.10Master's Thesis: defence before a panel and assessment
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so you can combine the programme with your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ROS 2, MoveIt, Gazebo, NVIDIA Isaac Sim and MATLAB/Simulink, in free, academic or evaluation versions. Testing is studied through real procedures from a collaborative robot cell, a 3D vision bench and a real-time control laboratory. Assessment is continuous for each module, plus the final Master's Thesis.
Standards covered: ISO 10218-1 and -2, ISO/TS 15066, ISO 13849, IEC 62061, ISO 3691-4 (AGV/AMR), IEC 61131-3, ISO 9283, IEC 62443, Machinery Regulation (EU) 2023/1230.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- An internet connection and a computer able to run the programme software.
- 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 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with ROS 2, MoveIt, Gazebo and NVIDIA Isaac Sim, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture (or equivalent demonstrable professional experience), a computer able to run the programme software and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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