Postgraduate Diploma in Precision Assembly and Rich-Contact Tasks
Online Postgraduate Diploma of 800 h in Precision Assembly and Rich-Contact Tasks. 8 modules covering ISO 10218-1, ISO 10218-2 and ROS 2 with MoveIt 2. Assigned tutor and open enrolment.
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
Model the contact, friction and jamming phenomena that arise in insertion tasks.
Design impedance, admittance and hybrid force/position controllers for assembly.
Select search and insertion strategies suited to each part geometry.
Integrate machine vision and force sensing to compensate for position uncertainties.
Apply learning from demonstration and reinforcement learning to contact tasks.
Design safe assembly cells in accordance with ISO 10218 and ISO/TS 15066.
Validate the capability of the assembly process using statistical indicators.
Who it's for
- Assembly automation engineer who wants to specialise in Precision Assembly and Rich-Contact Tasks.
- Robotic systems integrator who wants to specialise in Precision Assembly and Rich-Contact Tasks.
- Assembly process engineer who wants to specialise in Precision Assembly and Rich-Contact Tasks.
- Industrial robot programmer who wants to specialise in Precision Assembly and Rich-Contact Tasks.
- R&D engineer in robotic manipulation who wants to specialise in Precision Assembly and Rich-Contact Tasks.
- Commissioning technician for robotic cells who wants to specialise in Precision Assembly and Rich-Contact Tasks.
- Engineering or science graduates seeking to enter the automotive sector.
What you'll work with
- ISO 10218-1
- ISO 10218-2
- ISO/TS 15066
- ISO 12100
- ISO 9283
- ISO 286-1
- ISO 9409-1
- VDI/VDE 2862
8 modules · 800 h
1.1Rigid contact mechanics and Coulomb friction1.2Contact stiffness and the Hertz model1.3Jamming and wedging in peg-in-hole insertion1.4ISO 286 fits and tolerances in assemblies1.5Chamfers and geometric guidance of parts1.6Passive remote centre compliance (RCC)1.7Robot pose repeatability and accuracy1.8Tolerance stack-ups in assembled components1.9Elastic deformation of parts during assembly1.10Practice: jamming analysis in cylindrical insertion
2.1Cartesian impedance control2.2Admittance control on position-controlled robots2.3Raibert-Craig hybrid force/position control2.4Selection of compliance directions by task2.5Stability in the free-to-contact transition2.6Force limitation and impact detection2.7Filtering of force and torque signals2.8Gain tuning according to environmental stiffness2.9Force control with a wrist-mounted sensor2.10Laboratory: guided insertion using admittance control
3.1Spiral search and exploration patterns3.2Insertion by tilting and rotation3.3Hole location through contact3.4Gear assembly and tooth alignment3.5Press fits and snap-fit joints3.6Robotic screwing with torque-angle control3.7Insertion of connectors and flexible cables3.8End-of-task detection through force signature3.9Assembly of seals and elastic elements3.10Workshop: screwing with torque-angle monitoring
4.12D vision for part localisation4.2Point clouds and ICP registration4.3Hand-eye calibration4.4Image-based visual servoing4.5Gap measurement with laser sensors4.6Fusion of vision and force in assembly4.7Propagation of pose uncertainty4.8Selection of industrial cameras and optics4.9Detection of component presence and orientation4.10Practice: visual guidance of a precision insertion
5.1Learning from demonstration and haptic teleoperation5.2Dynamic movement primitives (DMP)5.3Reinforcement learning in insertion5.4Sim-to-real transfer with contact5.5Contact simulation in MuJoCo5.6Residual policies over classical controllers5.7Generalisation to part variations5.8Safe exploration of policies on the shop floor5.9Collection of contact data for training5.10Laboratory: residual policy for peg-in-hole
6.1Design of jigs and fixtures6.2End effectors with mechanical compliance6.3Collaborative robots and biomechanical limits6.4Cycle time analysis and balancing6.5Quick tool changers6.6Integration with PLCs and process signals6.7Cell risk assessment6.8Design for automated assembly (DFA)6.9Vibratory feeders and part presentation6.10Case study: electric motor assembly cell
7.1Process capability indices Cp and Cpk7.2Recording of force curves per part7.3Anomaly detection in assembly signatures7.4Leak testing and functional verification7.5Failure mode and effects analysis (FMEA)7.6Parameter traceability by serial number7.7Design of experiments for process tuning7.8Repeatability validation in series production7.9Management of rejected parts and rework7.10Case study: Cpk study of an insertion station
8.1Project planning and schedule8.2Definition of the assembly and specifications8.3Selection of the control strategy8.4Design of the cell and tooling8.5Simulation of the contact task8.6Implementation of the force controller8.7Testing and parameter tuning8.8Analysis of results and capability8.9Report and presentation8.10Final review with the tutor
How you'll learn
Training 100 % online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the programme with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ROS 2 with MoveIt 2, MuJoCo, RoboDK, MATLAB/Simulink, ABB RobotStudio, in free, academic or evaluation versions. Tests are studied using real procedures for inserting shafts into bearings with H7/g6 fits, mounting connectors on electronic boards and automated screwing of automotive subassemblies. Assessment is continuous across each module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Model the contact, friction and jamming phenomena that arise in insertion tasks.
Design impedance, admittance and hybrid force/position controllers for assembly.
Select search and insertion strategies suited to each part geometry.
Integrate machine vision and force sensing to compensate for position uncertainties.
Apply learning from demonstration and reinforcement learning to contact tasks.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- Internet connection and a computer capable of running the programme's software.
- A level of Spanish sufficient to follow technical standards documentation.
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 comprises 800 hours in total, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
The programme works with ROS 2 with MoveIt 2, MuJoCo, RoboDK, MATLAB/Simulink, ABB RobotStudio. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
A SEIUM diploma of its own upon passing the continuous assessment and the integrating project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Please check the credit transfer policy when you enrol.
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