MindBot · Project

Keeping Factory Workers Mentally Healthy When Robots Join the Production Line

manufacturingTestedTRL 5

When factories bring in collaborative robots to work alongside people, workers often feel anxious, bored, or disengaged — and that quietly tanks productivity and drives up sick leave. MindBot figured out how to design cobot workstations that match task difficulty to each worker's skills and mood, keeping people motivated instead of stressed. Think of it like a fitness tracker, but for your mental state at work — the system adjusts what the robot does so the human stays in a healthy zone. They even built a model for employing people with autism spectrum disorders in cobot-equipped factories.

By the numbers

consortium partners

countries involved (BE, DE, HR, IT)

key result areas: organizational guidelines, technical guidelines, ASD employment model

total project deliverables

SME partner in consortium

The business problem

What needed solving

Manufacturers adding cobots to their production lines face a hidden cost: worker anxiety, disengagement, and stress-related absenteeism. When people don't know how to work alongside robots or feel threatened by them, productivity drops and sick leave rises. Most companies focus on the technical integration of cobots but completely overlook the human side — and pay for it in turnover and lost output.

The solution

What was built

The project built a prototype MindBot platform tested in an SME workplace that matches task difficulty to individual worker abilities when working alongside cobots. They also produced organizational guidelines for cobot-friendly workplace design, technical guidelines for building mental-health-aware cobots, and an employment model for persons with autism spectrum disorders in cobot-equipped manufacturing SMEs.

Audience

Who needs this

SME manufacturers deploying cobots on production linesCobot manufacturers wanting to add worker-wellbeing featuresOccupational health consultancies advising on automation transitionsHR departments managing workforce adaptation to Industry 4.0Disability employment organizations placing ASD workers in manufacturing

Business applications

Who can put this to work

Automotive & Discrete Manufacturing

SME

Target: SME manufacturers integrating cobots into assembly lines

If you are a small or mid-sized manufacturer that recently added cobots to your shop floor and noticed rising absenteeism or worker complaints — this project developed a platform prototype and organizational guidelines that help you design cobot workstations matching task difficulty to each worker's abilities, reducing stress-related turnover. The solution was prototyped in a real SME environment with input from 9 consortium partners across 4 countries.

Collaborative Robotics

any

Target: Cobot manufacturers and system integrators

If you are a cobot manufacturer or integrator looking to differentiate your product beyond speed and precision — this project produced technical guidelines for designing 'mental health friendly' cobots that adapt to worker engagement levels. The consortium included a major worldwide cobot manufacturer, giving the guidelines real-world grounding from production environments.

Occupational Health & HR Services

any

Target: Workplace wellness and occupational health consultancies

If you are an occupational health provider advising manufacturers on workforce wellbeing during automation transitions — this project delivered organizational guidelines for cobot-based workplace design plus an employment model specifically for persons with autism spectrum disorders working in manufacturing SMEs. These are ready-to-use advisory tools backed by 3 universities and 3 research centers.

Frequently asked

Quick answers

What would it cost to implement MindBot's solutions in our factory?

The project did not publish specific implementation costs or licensing fees. The MindBot platform was developed as a prototype, so pricing would need to be negotiated directly with the consortium. Contact the coordinator to discuss deployment options and costs.

Can this scale to a factory with hundreds of cobot stations?

The prototype was tested in an SME environment, which typically means smaller production lines. Scaling to larger operations would likely require further engineering, though the organizational and technical guidelines are designed to be applicable across manufacturing SMEs of varying sizes.

Who owns the IP and can we license it?

This was an EU-funded Research and Innovation Action (RIA), so IP is typically owned by the consortium partners who created it. The consortium includes 9 partners — 2 industrial, 3 university, 3 research, and 1 other organization. Licensing terms would need to be discussed with the coordinator in Italy.

Does this actually work with our existing cobots or only specific brands?

The consortium included a major worldwide cobot manufacturer, suggesting the platform was designed with mainstream cobot hardware in mind. The technical guidelines define specifications for 'mental health friendly' cobots, which could potentially be adapted to different cobot brands through integration work.

Is there regulatory pressure to do this, or is it optional?

EU workplace safety directives increasingly cover psychosocial risks in automated environments. While not yet mandatory in most countries, demonstrating worker mental health investment strengthens compliance with the EU Framework Directive on Safety and Health at Work and can reduce liability exposure.

How long would it take to see results after implementation?

Based on available project data, the MindBot project ran from January 2020 to September 2023 to develop and test the full platform. Actual deployment timelines for your facility would depend on the number of cobot stations and workforce size, but the guidelines and prototype are already developed.

Consortium

Who built it

The 9-partner consortium across 4 countries (Belgium, Germany, Croatia, Italy) is research-heavy with 3 universities and 3 research centers, but includes 2 industrial partners and 1 SME — giving it a 22% industry ratio. For a business buyer, the involvement of a major worldwide cobot manufacturer adds credibility that the solutions work with real production hardware, not just in academic simulations. The Italian research institute coordinating the project brings clinical expertise in mental health, which is the core differentiator. However, the relatively low industry ratio means commercialization may need additional business partners to bring solutions to market at scale.

IRCCS - ASSOCIAZIONE LA NOSTRA FAMIGLIA 'ISTITUTO SCIENTIFICO EUGENIO MEDEA'Coordinator · IT
DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBHparticipant · DE
CONSIGLIO NAZIONALE DELLE RICERCHEparticipant · IT
UNIVERSITA DEGLI STUDI DI MILANOparticipant · IT
UNIVERSITAET AUGSBURGparticipant · DE
SVEUCILISTE U RIJECI, FILOZOFSKI FAKULTET U RIJECIparticipant · HR
KUKA DEUTSCHLAND GMBHparticipant · DE

How to reach the team

Contact the coordinator (IRCCS Eugenio Medea, Italy) through the CORDIS portal or project website for licensing and implementation discussions.

Order a report on this consortium See IRCCS - ASSOCIAZIONE LA NOSTRA FAMIGLIA 'ISTITUTO SCIENTIFICO EUGENIO MEDEA' profile →

Next steps

Talk to the team behind this work.

SciTransfer can connect you directly with the MindBot team and help assess fit for your specific manufacturing setup. We handle the introductions so you skip the cold outreach.

Order a report on this topic More in Manufacturing & Industry 4.0