Imagine you run a factory and every time you want to make a different product, you have to spend months reprogramming and rearranging your robots — it's expensive and slow. ODIN built a system where robots, digital twins, and smart software work together so you can reconfigure your production line almost like rearranging LEGO blocks. They tested this in real factories making cars, home appliances, and aircraft parts. The idea is that robots should be easy to set up and move around, not locked into one task forever.
By the numbers
3
Large Scale Pilots in real production (automotive, white goods, aeronautics)
16
consortium partners across 8 countries
69%
industry ratio in the consortium
EUR 6,991,729
EU contribution to the project
13
demo deliverables produced
48
months of development and industrial validation
The business problem
What needed solving
Most factories avoid robots for anything except high-volume, single-product lines because reprogramming and reconfiguring them is too expensive and slow. When you make different products or change models frequently, the integration cost can wipe out the performance gains. This locks out entire sectors — especially those with smaller batches, diverse products, or mixed human-robot work — from the benefits of automation.
The solution
What was built
ODIN built autonomous mobile manipulators with reconfigurable tooling, a digital twin and virtual commissioning platform for simulating production setups before physical deployment, easy programming interfaces for human-robot collaboration, and a secure OpenFlow communication architecture connecting all robotic systems. These were validated in 3 full-scale industrial pilots in automotive, white goods, and aeronautics end-user facilities.
Audience
Who needs this
Automotive OEMs and tier-1 suppliers running mixed-model assembly linesWhite goods manufacturers producing multiple product variants on shared linesAerospace component manufacturers with low-volume, high-precision assemblySystem integrators building turnkey robotic production cellsFactory automation consultants helping manufacturers plan digital transformation
Business applications
Who can put this to work
Automotive Manufacturing
enterprise
Target: Car and auto parts manufacturers with mixed-model assembly lines
If you are an automotive manufacturer dealing with frequent model changes and high robot reprogramming costs — this project developed modular robotic workstations with autonomous mobile manipulators and virtual commissioning tools, tested in a real automotive large-scale pilot across a 4-year program with 16 partners. The digital twin component lets you simulate and validate new line configurations before touching the physical floor.
Home Appliances & White Goods
mid-size
Target: Appliance manufacturers producing multiple product variants on shared lines
If you are a white goods manufacturer struggling to justify automation for lower-volume, high-mix production — ODIN demonstrated reconfigurable tooling and easy programming interfaces in a dedicated white goods pilot. The system uses AI-based task planning and human-robot collaboration so workers and robots share the workspace safely, reducing the integration complexity that usually blocks automation in your sector.
Aerospace & Defense
enterprise
Target: Aircraft component manufacturers and MRO service providers
If you are an aerospace manufacturer where every component is different and robots seem too rigid for your needs — ODIN ran a large-scale aeronautics pilot proving that mobile robots with multi-level perception can adapt to diverse, low-volume tasks. The open communication architecture means your existing systems can talk to the new robots through standard interfaces, cutting integration time.
Frequently asked
Quick answers
What would it cost to adopt this robotic system?+
The ODIN project received EUR 6,991,729 in EU funding across 16 partners over 4 years. Pricing for commercial deployment would depend on the technology providers in the consortium. Contact the coordinator or industrial partners like DGH, ROBOCEPTION, or TECNALIA for licensing and implementation quotes.
Has this been tested at industrial scale?+
Yes. ODIN ran 3 Large Scale Pilots in real production environments — automotive, white goods, and aeronautics. The Industrial Component deliverables progressed from first version (M24) to refined version with risk assessment (M42) to full industrial validation in end-user premises (M48). This is not lab-only research.
Who owns the IP and how can I license it?+
IP is distributed among the 16 consortium partners. Key technology owners include ROBOCEPTION (perception and mobile manipulators), TECNALIA (programming interfaces and human-robot interaction), VIS (digital twin and virtual commissioning), and S21Sec/INTRA (secure communication architecture). Licensing terms would need to be negotiated with the relevant partner.
Can this integrate with my existing factory systems?+
ODIN specifically developed an OpenFlow communication and integration architecture with open interfaces. This Networked Component was designed to allow all robotic hardware and control systems to communicate through standardized, secure connections. The service-oriented architecture approach means it was built for interoperability.
How long would deployment take?+
The project spent 48 months from initial prototypes (M18) through industrial validation (M48). However, for a commercial deployment leveraging the finished technology, timelines would be shorter since the R&D phase is complete. The virtual commissioning framework allows you to simulate and test configurations digitally before physical deployment.
Is human-robot collaboration safe with this system?+
Safety was a core design priority. ODIN developed human-centered interaction interfaces and multi-level perception for adaptability, meaning the robots can sense and respond to human presence. The industrial validation at M48 included a final risk assessment as part of the refined pilot deliverable.
What ongoing support is available?+
The project ended in December 2024, but 11 of the 16 partners are industry organizations. Companies like ROBOCEPTION, TECNALIA, DGH, and VIS are commercial entities that can provide ongoing support and deployment services for the technologies they developed within ODIN.
Consortium
Who built it
The ODIN consortium is heavily industry-driven: 11 out of 16 partners (69%) are from industry, with only 3 universities and 2 research organizations. This is a strong signal that the project was built around real manufacturing needs, not academic curiosity. The 8-country spread (DE, EL, ES, FI, FR, IT, LU, SE) covers Europe's major manufacturing hubs. Key industrial players include ROBOCEPTION (perception and autonomous manipulators), TECNALIA (a leading Spanish applied research center), DGH (led the industrial pilots), VIS (digital twin tools), and S21Sec/INTRA (cybersecurity for networked robotics). With 3 SMEs in the mix, there's both big-company engineering capacity and agile innovation. The coordinator is the University of Patras (Greece), which has strong robotics research credentials.
The coordinator is University of Patras (Greece). Industrial pilot lead is DGH. Key technology partners: ROBOCEPTION, TECNALIA, VIS, S21Sec. SciTransfer can facilitate introductions.
Want to explore how ODIN's modular robotics and virtual commissioning tools could work in your factory? SciTransfer can connect you with the right consortium partner for your specific production challenge — whether that's mobile robots, digital twins, or secure integration architecture.
