Use Case Explorer

SkillAIbility works towards a manufacturing sector where AI and automation extend what people can do rather than replacing them. The project builds on four pathways that emerge from stronger complementarity between human tasks and digital technology: empowerment, augmentation, inclusivity and symbiosis. SkillAIbility is testing what human-centric AI and automation look like on a real shop floor. Nineteen use cases run across five partner testbeds and Learning Factories.

Each one is anchored in a specific industrial activity and classified with its NACE code, keeping the work tied to identifiable sectors rather than to manufacturing in general, and each targets workers who are usually left out of technology transitions: people with disabilities, low-skilled workers and an ageing workforce. Use the filters below to explore by partner, sector or technology.

Use Cases

Target Groups

Industrial Sectors

Human-Centric Pathways

Explore the use cases

Discover our technological use cases matching industry paradigms to target worker groups.

U1

Cobot Assisted Clip Insertion

A collaborative robot assists with clip insertion during the assembly of wire harnesses into car bodies — a task in the production of parts and accessories for motor vehicles.

Technology:

Cobots

Target Group:

Workers with physical / cognitive or special support needs

Pathway:

Symbiosis

NACE Sector:

C29.3.2 Manufacture of other parts and accessories for motor vehicles

U2

Human-in-the-loop digital twin

A digital twin that keeps the human operator inside the decision loop, focused on automatic emergency stops. The task sits with control and safety systems, hence its classification under electricity distribution and control apparatus.

Technology:

Artificial Intelligence

Target Group:

Novice and learning-vulnerable workers

Pathway:

Inclusivity

NACE Sector:

C27.1.2 Manufacture of electricity distribution and control apparatus

U3

Gesture based human robot interaction through physical AI

Operators direct collaborative robots through gestures, using physical AI in the cobot control system — specialised industrial machinery.

Technology:

Artificial Intelligence

Target Group:

Novice and learning-vulnerable workers

Pathway:

Symbiosis

NACE Sector:

C28.9.9 Manufacture of other special-purpose machinery n.e.c.

U4

MR training for adhesive application

Mixed-reality training for adhesive application, a task performed during the assembly of vehicle components.

Technology:

Mixed Reality

Target Group:

Novice and learning-vulnerable workers

Pathway:

Augmentation

NACE Sector:

C29.3.2 Manufacture of other parts and accessories for motor vehicles

U6

Digitally Assistive Assembly

AI vision combined with AR glasses supports quality control during assembly of vehicle parts.

Technology:

Artificial Intelligence, Augmented Reality

Target Group:

Ageing workers, Deaf and hard of hearing workers (DHH), Novice and learning-vulnerable workers

Pathway:

Inclusivity

NACE Sector:

C29.3.2 Manufacture of other parts and accessories for motor vehicles

U7

Haptic feedback for hard of hearing operators

Haptic signals integrated into the production system convey information to operators who are hard of hearing, replacing reliance on auditory signalling.

Technology:

Computer vision, Sensors

Target Group:

Deaf and hard of hearing workers (DHH)

Pathway:

Inclusivity, Symbiosis

NACE Sector:

C28.9.9 Manufacture of other special-purpose machinery n.e.c.

U8

Supportive order picking activities

Automated Guided Vehicles support order picking, as a core component of automated lifting and handling in logistics and production.

Technology:

Automated Guided Vehicle

Target Group:

Ageing workers, Workers with physical / cognitive or special support needs

Pathway:

Augmentation, Symbiosis

NACE Sector:

C28.2.2 Manufacture of lifting and handling equipment

U9

Knowledge of AI use in manufacturing

A training and service activity building practical knowledge on how AI is implemented in manufacturing settings.

Technology:

Artificial Intelligence

Target Group:

Novice and learning-vulnerable workers

Pathway:

Empowerment

NACE Sector:

C33.1.9 Repair of other equipment

U10

Visual guidance

Visual guidance supports error-free valve assembly.

Technology:

Artificial Intelligence, Augmented Reality

Target Group:

Deaf and hard of hearing workers (DHH), Novice and learning-vulnerable workers, Workers with physical / cognitive or special support needs

Pathway:

Augmentation, Empowerment, Inclusivity, Symbiosis

NACE Sector:

C28.1.4 Manufacture of other taps and valves

U11

AR-guided CNC Smart Maintenance

Augmented reality guides operators through the maintenance of CNC milling machines.

Technology:

Artificial Intelligence

Target Group:

Novice and learning-vulnerable workers

Pathway:

Augmentation, Inclusivity, Symbiosis

NACE Sector:

C33.1.2 Repair of machinery

U12

Cobot-supported assembly for chassis fixing components

A collaborative robot supports the assembly of fixing components onto a motorbike chassis.

Technology:

Cobots

Target Group:

General industrial workers, Workers with physical / cognitive or special support needs

Pathway:

Inclusivity, Symbiosis

NACE Sector:

C30.9.1 Manufacture of motorcycles

U13

Confidence Building via Step-by-Step Support

Technology-driven step-by-step support intended to build learner confidence, delivered as an auxiliary service to industrial processes.

Technology:

Artificial Intelligence

Target Group:

Ageing workers, Deaf and hard of hearing workers (DHH), Novice and learning-vulnerable workers

Pathway:

Inclusivity, Symbiosis

NACE Sector:

C33.1.9 Repair of other equipment

U14

Visual safety training

Sound alarms are replaced with visual prompts, so safety information no longer depends on hearing.

Technology:

Chatbot

Target Group:

Ageing workers, Deaf and hard of hearing workers (DHH), Novice and learning-vulnerable workers

Pathway:

Augmentation

NACE Sector:

C33.1.9 Repair of other equipment

U15

Visual Process Feedback

Feedback mechanisms in the production system are modified so process information reaches the operator visually.

Technology:

Chatbot

Target Group:

Ageing workers, Deaf and hard of hearing workers (DHH), Novice and learning-vulnerable workers

Pathway:

Empowerment

NACE Sector:

C33.1.9 Repair of other equipment

U16

Visual Feedback for Weld Quality

Acoustic alarms are replaced with visual feedback generated by a machine learning system assessing weld quality, within metal treatment and coating work.

Technology:

Chatbot

Target Group:

Ageing workers, Deaf and hard of hearing workers (DHH), Novice and learning-vulnerable workers

Pathway:

Symbiosis

NACE Sector:

C25.6.1 Treatment and coating of metals

U17

AR Assembly for People with Cognitive Special Needs

AR-based assembly training designed for people with cognitive special needs.

Technology:

Augmented Reality

Target Group:

Workers with physical / cognitive or special support needs

Pathway:

Augmentation, Inclusivity, Symbiosis

NACE Sector:

C28.9.9 Manufacture of other special-purpose machinery n.e.c.

U18

VR Safety Training for Low-Skilled Workers in Hazardous Gas Installations

VR-based safety training for work on hazardous gas installations.

Technology:

Virtual Reality

Target Group:

Novice and learning-vulnerable workers

Pathway:

Empowerment, Inclusivity, Symbiosis

NACE Sector:

C19.2 Manufacture of refined petroleum products

U19

AI Multilingual Assistant for Migrant Learners in Manufacturing Training

An AI assistant provides multilingual support for migrant learners in manufacturing training.

Technology:

Artificial Intelligence

Target Group:

Migrant workers

Pathway:

Augmentation, Empowerment, Inclusivity, Symbiosis

NACE Sector:

C33.1.9 Repair of other equipment

What are Learning Factories?

A Learning Factory is a realistic manufacturing environment for education, training and research: a physical learning space with real instruments and equipment, reproducing the working conditions of an industrial site for training purposes.

What are the SkillAIbility pathways?

The pathways are four ways that AI and automation can be combined with human work so that technology extends what people can do instead of replacing them. They emerge from assessing the complementarity between human tasks and digital technologies, using human factors (physical, mental, perceptual and psychosocial) as the assessment criteria.