Rank

Enabling technologies

Attributes

Technologies properties

1

Individualized human-machine interaction.

o designing a human-centric environment (i.e., human has a leading role);

o strengthening human (empowering human operator, improving human operator’s conditions, up-skilling human operator);

o combining human innovation and technologies capabilities;

o transferring knowledge from humans to robots;

o adjusting robot’s behaviors based on the needs of worker.

For e.g., the subsequent tools might assist humans in physical and cognitive tasks:

- multi-lingual speech/gesture recognition;

- tracking technologies for mental health and anxiety of workers;

- collaborative robots to assist humans;

- augmented reality technologies;

- virtual reality technologies mainly for training;

- exoskeletons;

- safety equipment;

- Artificial Intelligence to support the human brain for decision making.

2

Bio-inspired technologies and smart materials.

o inspired from the concept of biological transformation;

o integrating sensors into materials;

o improving materials features;

o recycling materials.

For e.g.:

- Self-healing or self-repairing;

- Lightweight;

- Recyclable;

- Raw material generation from waste;

- Integration of living materials;

- Embedded sensor technologies and biosensors;

- Adaptive/responsive ergonomics and surface properties;

- Materials with intrinsic traceability.

3

Digital Twins and simulation.

o modelling the entire systems;

o optimizing production;

o examining products;

o testing processes;

o identifying potential hazards and consequences (assessing risks).

For e.g.:

- Digital twins of products and processes;

- Virtual simulation and testing of products and processes (e.g., for human-centricity, working and operational safety);

- Multi-scale dynamic modelling and simulation;

- Simulation and measurement of environmental and social impact;

- Cyber-physical systems and digital twins of entire systems;

- Planned maintenance.

4

Data transmission, storage, and analysis technologies.

o processing data securely (data acquisition, transmission, storage and analysis);

o implementing energy-efficient solutions;

o ensuring system interoperability.

For e.g.:

- Networked sensors;

- Data and system interoperability;

- Scalable, multi-level cyber security;

- Cyber security/safe cloud IT-infrastructure;

- Big data management;

- Traceability (e.g., data origin and fulfillment of specifications);

- Data processing for learning processes;

- Edge computing.

5

Artificial Intelligence.

o providing intelligence to machines (machine learning, deep learning, etc.)^a.

For e.g.:

- Causality-based and not only correlation-based artificial intelligence;

o advanced analysis and problem-solving in complex and dynamic systems.

- Show relations and network effects outside of correlations;

- Ability to respond to new or unexpected conditions without human support;

- Swarm intelligence;

- Brain-machine interfaces;

- Individual, person-centric Artificial Intelligence;

- Informed deep learning (expert knowledge combined with Artificial Intelligence);

- Skill matching of humans and tasks;

- Secure and energy-efficient Artificial Intelligence

Ability to handle and find correlations among complex, interrelated data of different origin and scales in dynamic systems within a system of systems.

6

Technologies for energy efficiency, renewables, storage and autonomy.

o energy-efficient solutions;

o achieving emission neutrality;

o enabling the shift towards a circular economy.

For e.g.:

- Integration of renewable energy sources;

- Support of Hydrogen and Power-to-X technologies;

- Smart dust and energy-autonomous sensors;

- Low energy data transmission and data analysis.