Master’s in Advanced Cobot Integration Engineering
Online master's programme of 1,900 hours in advanced cobot integration engineering, structured in 12 modules covering collaborative robotics, cobot kinematics and dynamics, collaborative safety under ISO 10218 and ISO/TS 15066, risk assessment, programming, end effectors, vision, integration with production systems, industrial applications, ergonomics and project feasibility, with an assigned technical tutor.
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
Identify industrial applications suited to collaborative robotics.
Analyse the kinematics and force control of cobots.
Apply the safety requirements of ISO 10218 and ISO/TS 15066.
Carry out risk assessments of collaborative cells.
Programme cobots and integrate tools and machine vision.
Integrate collaborative cells with the production system.
Develop and economically justify a complete collaborative cell.
Who it's for
- Collaborative robotics integrators
- Robotic applications engineers
- Robot programmers
- Machinery safety engineers
- Manufacturing process engineers
- Commissioning technicians
- Engineering or science graduates looking to move into the automotive industry
What you'll work with
- ISO 10218-1 (safety requirements for industrial robots)
- ISO 10218-2 (safety of robot systems and integration)
- ISO/TS 15066 (collaborative robots)
- ISO 12100 (risk assessment and risk reduction of machinery)
- ISO 13849-1 (safety-related parts of control systems)
- Directive 2006/42/EC (Machinery Directive)
- Regulation (EU) 2023/1230 (Machinery Regulation)
- ISO 9409-1 (mechanical interfaces for robot end effectors)
- Universal Robots PolyScope
- RoboDK
- ROS 2
- OpenCV
- Siemens Process Simulate
12 modules · 1900 h
1.1Evolution of collaborative robots1.2Differences from classic industrial robotics1.3Collaboration modes defined by the standard1.4Cobot manufacturers and ranges1.5Use cases with the highest return1.6Payload, speed and accuracy limitations1.7Myths about inherent safety1.8Human factors in collaboration1.9Indicators for assessing an application1.10Case study: shortlisting collaborative applications in a plant
2.1Denavit-Hartenberg parameters2.2Forward and inverse kinematics2.3Singularities and configurations2.4The Jacobian and joint velocities2.5Dynamic models of manipulators2.6Joint torque sensors2.7Impedance and admittance control2.8Gravity compensation2.9Accuracy and repeatability2.10Practical exercise: inverse kinematics of an arm in Python
3.1The current edition of ISO 102183.2The ISO/TS 15066 technical specification3.3Safety-rated monitored stop3.4Hand guiding3.5Speed and separation monitoring3.6Power and force limiting3.7Biomechanical pressure and force values3.8Measuring collision forces3.9Application validation3.10Lab: measuring collision forces with a force gauge
4.1ISO 12100 methodology4.2Hazard identification in collaboration4.3Tool and workpiece risks4.4Body contact areas4.5Risk estimation by task4.6Risk reduction measures4.7Documenting the assessment4.8CE marking of the application4.9Review after changes4.10Workshop: risk assessment of a screwdriving cell
5.1Programming by demonstration5.2Graphical programming interfaces5.3Proprietary languages: URScript and KRL5.4Offline programming and simulation5.5Waypoints, trajectories and blending5.6Handling inputs, outputs and signals5.7Robust programme structures5.8Error handling and recovery5.9Reusable programme templates5.10Practical exercise: palletising programme with URScript
6.1Collaborative electric grippers6.2Suction cups and vacuum generators6.3Screwdrivers integrated into the cobot6.4Wrist force and torque sensors6.5Tool changers6.6Ecosystems of certified accessories6.7Designing tools without sharp edges6.8Cabling and robot dress packs6.9Maintenance of peripherals6.10Lab: integrating an electric gripper
7.12D and 3D wrist-mounted cameras7.2Hand-eye camera calibration7.3Part localisation7.4Bin picking7.5In-line inspection7.6Tracking people in the cell7.7Machine learning for grasping7.8Generative artificial intelligence in programming7.9Limitations of industrial vision7.10Practical exercise: hand-eye calibration with OpenCV
8.1Communication with PLCs8.2Profinet, EtherNet/IP and Modbus protocols8.3Interfaces with MES8.4Synchronisation with conveyors8.5Cobots on mobile platforms8.6Integration with ROS 28.7Recipe and variant management8.8Cell supervision8.9Cybersecurity of the connected cobot8.10Workshop: integrating a cobot with a PLC over Profinet
9.1Collaborative end-of-line palletising9.2CNC machine tending9.3Screwdriving and assembly9.4Collaborative welding for short runs9.5Adhesive dispensing9.6Force-controlled polishing and sanding9.7Laboratory and pharmacy9.8Logistics and picking9.9Quality inspection9.10Case study: lathe tending cell
10.1Ergonomic assessment of workstations10.2Task allocation between people and robots10.3Acceptance by operators10.4Cognitive load and trust10.5Operator training10.6Interaction interfaces10.7Exoskeletons and assistance10.8Work organisation10.9Worker participation10.10Practical exercise: ergonomic assessment before and after the cobot
11.1Return on investment analysis11.2Time and cycle study11.3Proofs of concept11.4Selecting an integrator11.5Technical specification of the cell11.6Commissioning and validation11.7Training and documentation11.8Performance indicators11.9Scaling to other lines11.10Workshop: return calculation for a palletising cell
12.1Selection of the collaborative application12.2Task and workstation analysis12.3Cell design12.4Risk assessment12.5Programming and simulation12.6Safety validation of the application12.7Economic analysis of the cell12.8Conclusions on the collaborative cell12.9Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: you progress at your own pace within the intake, so you can combine it with your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Universal Robots PolyScope, RoboDK, ROS 2, OpenCV and Siemens Process Simulate, in free, academic or evaluation versions. Practical work is based on real procedures: measuring contact forces and pressures in collaborative applications, programming and simulating palletising cells, and integrating cobots with PLCs and machine vision. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: ISO 10218-1, ISO 10218-2, ISO/TS 15066, ISO 12100, ISO 13849-1, Directive 2006/42/EC, Regulation (EU) 2023/1230, ISO 9409-1.
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
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer capable of running the programme's 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 Universal Robots PolyScope, RoboDK, ROS 2, OpenCV and Siemens Process Simulate, 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 professional experience), a computer able to run the 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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