[temp-amp]

https://www.coursera.org/articles/machine-learning-vs-ai

AI is an umbrella term covering a variety of interrelated, but distinct, subfields. Some of the most common fields you will encounter within the broader field of artificial intelligence include:

    Machine learning (ML): a subset of AI in which algorithms are trained on data sets to become machine learning models capable of performing specific tasks. 

    Deep learning: A subset of ML, in which artificial neural networks (AANs) that mimic the human brain are used to perform more complex reasoning tasks without human intervention.  

    Natural Language Processing (NLP): A subset of computer science, AI, linguistics, and ML focused on creating software capable of interpreting human communication. 

    Robotics: A subset of AI, computer science, and electrical engineering focused on creating robots capable of learning and performing complex tasks in real world environments.

[SillyUsername]

I'd throw away that definition "robotics is a subset of AI" is like calling "medicine a subset of eugenics"... represented on a Venn diagram it's an intersect not a subset.

[mcv]

You're right that there's more to robotics than just the AI aspects, but there is a field within AI that's concerned with the image interpretation and decision making aspects of robotics.

[temp-amp]

I agree, robotics itself can be a separate field with no AI implemented in it. But certain you can use AI inside robotics.