Use Cases
1. Empowerment use case:
Enhancing worker capabilities through technology
Enhancing worker capabilities through technology
The challenge
In today’s manufacturing landscape, while technology adoption is displacing some traditional roles, it’s also creating new opportunities. The key challenge is ensuring this transition benefits all workers – including those with disabilities, older workers, and those with limited qualifications – while maintaining safety and human-centric values.
What we're addressing
- Machinery repair and equipment installation sectors
- Assembly, maintenance, warehouse, logistics, and ICT operations
- Implementation of AR/VR, AI sensors, predictive maintenance, and automated processes
Current Gaps
- Limited access to technical training programs
- Insufficient technological solutions
- Lack of proven collaborative workplace designs
- Missing policy frameworks for inclusivity
The Solution
1
Creating accessible, specialized training programs that focus on emerging qualifications
2
Building technical competency awareness in education
3
Developing policy recommendations at national and EU levels to support inclusive learning environments
By bridging these gaps, we’re working to create an empowered workforce where technology augments human capabilities rather than replacing them.
2. Human-technology symbiosis use case:
Human-technology symbiosis use case: creating true collaborative workspaces
Human-technology symbiosis use case: creating true collaborative workspaces
The challenge
While collaborative robots (cobots) have been in industry for a decade, their full potential remains untapped. Despite advances in cyber-physical systems and AI, many organizations struggle to achieve genuine human-technology collaboration that mirrors the effectiveness of human teams.
What we're addressing
- Metal product manufacturing sector
- Assembly, welding, logistics, and ICT operations
- Focus on manufacturing and retail collaborative scenarios
Current State
Robots can provide varying levels of support:
Low automation (basic worker assistance)
High automation (full task control with human oversight)
However, there's limited understanding of:
Impact on human workers
How to fully utilise collaborative capabilities
Ways to build team cohesion between humans and machines
The Solution
1
Developing reciprocal learning systems where both humans and machines learn from each other
2
Building technical competency awareness in educationCreating frameworks for genuine team collaboration rather than simple automation
3
Focusing on work quality through enhanced human-machine cohesion
Our goal is to move beyond basic automation to create truly collaborative workspaces where humans and technology work together as effective teams.
3. Human augmentation use case:
Personalizing technology support for all workers
Personalizing technology support for all workers
The challenge
While AI, robotics, and augmented reality are becoming commonplace in both work and daily life, there’s a gap in making these technologies truly accessible and beneficial for diverse workforce groups, including older workers and people with disabilities.
What we're addressing
- Machinery and equipment manufacturing sector
- Assembly, welding, and logistics operations
-
Implementation of:
→ Augmented Reality for training
→ Generative AI and Large Language Models
→ Robotics for task assistance
Current Gaps
- Limited training solutions for diverse worker groups
- Insufficient understanding of reciprocal learning processes
- Lack of proven training program designs
- Missing policy frameworks for inclusivity and diversity
The Solution
1
Creating inclusive training solutions that adapt to different worker needs and abilities
2
Developing smart decision-making systems that support worker growth
3
Enabling workers to focus on specialized and supervisory roles while automation handles physical tasks
Our aim is to expand the workforce pool by making technology work for everyone, regardless of their background or abilities.
4. Inclusivity use case:
Making technology accessible for all
Making technology accessible for all
The challenge
While AI, robotics, and augmented reality are becoming commonplace in both work and daily life, there’s a gap in making these technologies truly accessible and beneficial for diverse workforce groups, including older workers and people with disabilities.
What we're addressing
- Manufacturing sector
- Assembly, welding, and logistics operations
-
Implementation of:
→ Augmented Reality for real-time assistance
→ AI solutions (speech-to-text, image-to-speech)
→ Assistive robotics
→ Accessible UI design
→ Real-time captioning and translation
Current Gaps
- Limited training solutions for diverse groups
- Inadequate knowledge presentation methods
- Missing policy frameworks for inclusivity
The Solution
1
Developing accessible training solutions that address different disability needs
2
Creating adaptive learning platforms that support various communication preferences
3
Integrating assistive technologies into standard workplace operations
Our mission is to transform manufacturing workplaces into truly inclusive environments where technology breaks down barriers rather than creating them.
