Postgraduate Diploma in Dynamic Reconfiguration and Cooperative Control
800-hour online Postgraduate Diploma in Dynamic Reconfiguration and Cooperative Control. 8 modules covering ISO 10218-2, ISO 3691-4 and ROS 2 with Nav2. Assigned tutor and open enrolment.
Postgraduate Diploma in Dynamic Reconfiguration and Cooperative Control — studying from Australia
Robotics and automation are important to Australian industries, especially mining, agriculture, logistics and manufacturing. Autonomous haulage, robotic harvesting and warehouse automation illustrate the breadth of applications. Research bodies such as CSIRO and universities maintain strong robotics programmes, supporting industry collaboration. Engineers work on control systems, sensing, motion planning and industrial integration. Employers include mining technology companies, agricultural technology firms, automation integrators and research organisations.
Fees for Australia: A$2,850 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Will this qualification be recognised by Engineers Australia for robotics and control roles?
SEIUM qualifications are private and not accredited by Engineers Australia or any national body. Engineers Australia assesses engineering competence through its own processes, and recognition of SEIUM training is decided by employers or the body you apply to. Confirm their requirements before enrolling if professional membership matters to you.
Which Australian employers hire people with robotics and automation skills?
Mining, manufacturing, logistics, agricultural technology, and defence companies across Australia employ automation and control engineers. Whether they value a private qualification depends on each employer's policy. Your project work, programming and practical skills are usually central to hiring decisions.
Can I study this part time while working in Australia, and are there payment options?
Yes, the programmes are 100% online, taught in English, and include an assigned technical tutor, so you can study from anywhere in Australia around work hours. Fees are payable in instalments, and employer sponsorship is possible. Confirm the programme length, which ranges from 300 to 1,900 hours, and plan accordingly.
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
Analyse control architectures for multi-robot and reconfigurable systems.
Design cooperative control laws based on consensus and formation.
Implement dynamic reconfiguration and plug-and-produce mechanisms.
Solve task allocation problems and fleet coordination.
Apply interoperability standards such as VDA 5050 and OPC UA.
Formally verify cooperation protocols between robots.
Assess the availability and safety of reconfigurable cells.
Who it's for
- Multi-robot systems engineer who wants to specialise in Dynamic Reconfiguration and Cooperative Control.
- Flexible manufacturing architect who wants to specialise in Dynamic Reconfiguration and Cooperative Control.
- Distributed control engineer who wants to specialise in Dynamic Reconfiguration and Cooperative Control.
- AMR fleet integrator who wants to specialise in Dynamic Reconfiguration and Cooperative Control.
- Researcher in cooperative robotics who wants to specialise in Dynamic Reconfiguration and Cooperative Control.
- Robotics software engineer who wants to specialise in Dynamic Reconfiguration and Cooperative Control.
- Engineering or science graduates looking to enter intralogistics.
What you'll work with
- ISO 10218-2
- ISO 3691-4
- VDA 5050
- IEC 62541
- IEC 63278-1
- ISO 13849-1
- IEC 61499
8 modules · 800 h
1.1Centralised, decentralised and distributed architectures1.2Modular and reconfigurable robots1.3Graph theory applied to robot teams1.4Communication and network topologies1.5Classification of multi-robot tasks1.6Reconfigurable manufacturing systems (RMS)1.7Flexible work cells1.8Multi-agent platforms and simulators1.9Emergent behaviours and robotic swarms1.10Practice: modelling a robot team using graphs
2.1Linear consensus protocols2.2Displacement-based formation control2.3Leader–follower formation control2.4Distributed control with local information2.5Stability via Lyapunov theory2.6Delays and packet loss2.7Consensus with heterogeneous robots2.8Cooperative control of mobile manipulators2.9Connectivity control in robot networks2.10Laboratory: position consensus in simulation
3.1Topology change at run time3.2Reconfiguration of mechanical modules3.3Switched control and hybrid systems3.4Smooth transitions between modes3.5Fault-tolerant reconfiguration3.6Plug-and-produce in manufacturing3.7Automatic capability discovery3.8Configuration management with skill models3.9Automatic detection of connected modules3.10Workshop: controller switching with ros2_control
4.1Auction- and market-based allocation4.2Optimal allocation with the Hungarian algorithm4.3Multi-agent path finding (MAPF)4.4AMR fleet coordination4.5Traffic management and deadlocks4.6Negotiation and contract protocols4.7Dynamic order prioritisation4.8Load balancing between robots4.9Deadlock avoidance in shared aisles4.10Practice: assigning orders to a simulated fleet
5.1RAMI 4.0 architecture and Asset Administration Shell5.2OPC UA for Robotics5.3VDA 5050 for AGV fleets5.4DDS and ROS 2 middleware5.5Skill orchestration5.6Integration with MES and planning5.7Communication security in cells5.8Semantic description of capabilities5.9Synchronised digital twins of the cell5.10Laboratory: VDA 5050 interface for an AMR
6.1Cooperative load transport6.2Cooperative mobile manipulators6.3Force control on shared objects6.4Human–robot cooperation in cells6.5Parallel robots on a single workpiece6.6Synchronisation with production lines6.7Makespan optimisation6.8Robustness trials of the team6.9Load distribution between mobile manipulators6.10Case study: cooperative transport of a long workpiece
7.1Formal verification of cooperative protocols7.2Model checking with UPPAAL7.3Safety of industrial vehicle fleets7.4Safety functions in reconfiguration7.5Validation on a digital twin7.6Availability indicators and OEE7.7Risk analysis of reconfigurable systems7.8Change management and versioning7.9Degradation tests on loss of a robot7.10Case study: risk analysis of a reconfigurable cell
8.1Reconfiguration test plan8.2Definition of the cooperative scenario8.3Control and communication architecture8.4Design of consensus strategies8.5Reconfiguration mechanism8.6Simulation of the complete system8.7Validation and metrics8.8Analysis of results8.9Report and presentation8.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ROS 2 with Nav2, Gazebo, MATLAB/Simulink, UPPAAL, CODESYS, in free, academic or evaluation versions. Tests are studied using real procedures for coordinating mobile robot fleets in intralogistics, reconfiguring flexible manufacturing cells, and cooperative load transport with several manipulators. Assessment is continuous per 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.
Analyse control architectures for multi-robot and reconfigurable systems.
Design cooperative control laws based on consensus and formation.
Implement dynamic reconfiguration and plug-and-produce mechanisms.
Solve task allocation problems and fleet coordination.
Apply interoperability standards such as VDA 5050 and OPC UA.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish 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 totals 800 hours spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.
The course uses ROS 2 with Nav2, Gazebo, MATLAB/Simulink, UPPAAL, CODESYS. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An own diploma from SEIUM 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 diploma in the same area can be credited towards the higher programme. Check the credit transfer policy when you enrol.
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