Glossary

A

Additive manufacturing: Creating objects by layering materials, often referred to as 3D printing.

AI-enhanced robot system: A robotic system with integrated artificial intelligence.

Analytics: The systematic analysis of data for insights and decision-making.

Artificial intelligence: The development of computer systems that can perform tasks that typically require human intelligence.

Autonomous systems: Systems capable of operating without direct human control.

B

Brand book: A guide defining the visual identity and branding guidelines.

Branding: The promotion of a brand or product.

Business models: Plans outlining how an organisation creates, delivers and captures value.

C

Cognitive: Relating to mental processes, including perception, learning and reasoning.

D

Deburring: Removing sharp edges or burrs from machined parts.

Deliverables: Official project outcomes and results.

Digital twins: Virtual representations of physical objects or systems.

E

Environmental footprint: The impact of human activities on the environment.

Ergonomic: Designed for efficiency and comfort in the working environment.

Ethical: Pertaining to principles of right and wrong conduct.

Ethical Considerations: Deliberations related to moral principles.

Explainable AI: AI systems providing understandable explanations for their actions.

Exploitation strategy: A plan for maximising the use and benefits of resources or opportunities.

F

Field trials: Testing and evaluating a system or product in real-world conditions.

Flexibility: The ability to adapt to different situations or requirements.

Framework: A basic structure providing support or shaping for something.

Framework conditions: Fundamental parameters influencing a situation.

H

Human autonomy: The degree of independence and self-governance of individuals.

Human-centric design: Design focused on optimising products and systems for human use and experience.

Human-in-the-loop: A machine learning approach involving human intervention.

Hybrid deep structures models: Models combining different deep learning structures.

I

Information protection: Safeguarding data and intellectual property from unauthorised access.

Incremental learning algorithms: Algorithms that continuously update models based on new data.

L

Lifelong learning: Continuous learning throughout one’s life.

M

Machine learning: A subset of AI, allowing systems to learn and improve from experience.

Machine-tool: Equipment used for shaping or machining materials.

Mapping: Creating representations of an environment.

N

Next-gen: Abbreviation for “next generation,” indicating the latest advancements.

O

Optimisation: The process of making something as effective or functional as possible.

P

Pilots: Test programs or projects used to assess feasibility or performance.

Portable embedded hardware: Compact hardware integrated into devices.

Powder exposure: The risk of exposure to fine particles, often in manufacturing.

R

Real-time interpretation: Immediate analysis of data as it is generated.

Replicability: The ability to reproduce or duplicate results in different settings.

Resilience: The capacity to recover quickly from difficulties.

RFID-based detection: Detection system using Radio-Frequency Identification technology.

Robot operating system (ROS): An open-source middleware framework for robotics.

Robotics: The design, construction and operation of robots for various applications.

S

Self-adaptive robotics: Robots capable of adjusting to changing conditions.

Sensing systems: Systems that collect data from the environment through sensors.

SLAM: Simultaneous Localisation and Mapping technique.

Social sciences: The study of human society and social relationships.