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1. The ability of machines or AI systems to produce original and creative works, such as art, music, or writing.
2. Physical barriers, shields, or protective devices used to safeguard operators and prevent contact with hazardous components of industrial robots.
3. A control strategy that accumulates the error signal over time to eliminate steady-state errors.
4. An electromagnetic device that uses a coil of wire to generate a magnetic field, which in turn produces mechanical motion.
5. A task where industrial robots operate and tend to machinery, such as loading/unloading parts, monitoring processes, or performing maintenance.
6. Machine learning software that acts autonomously on a user's behalf.
7. A type of artificial intelligence that attempts to simulate human thought processes and decision-making.
8. The desired value or target value that the system aims to achieve.
9. AI systems often face ethical dilemmas where they have to make decisions that may have moral implications, raising concerns about accountability and responsibility.
10. Explainability is the ability to provide understandable explanations or justifications for the decisions and outcomes generated by an AI system.
11. The provision of knowledge, skills, and procedures to educate and train individuals in the safe operation and handling of industrial robots.
12. Machine learning models that can generate new and original content, such as images, texts, or music.
13. Vehicles that are capable of operating without human intervention, using sensors and machine learning algorithms to navigate and make decisions.
14. The maximum weight a robot can carry or handle while performing its tasks.
15. The process of discovering patterns in large data sets using machine learning and statistical techniques.
16. The degree of precision and correctness with which a robot can perform its tasks.
17. A type of actuator that uses the piezoelectric effect to generate motion when an electric field is applied.
18. The process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.