We explore AI robotics within the genealogy of philosophy, not technology.
Through the traditions of animal and angelic intelligence, we reflect on the nature of humans and robots, and reconstruct the issues of representation, autonomy, and existence in the language of thought.
It presents a new philosophical foundation for AI robotics within an intellectual lineage that connects ancient soulism, medieval angelology, modern machine philosophy, and contemporary cognitive science and brain science.
Artificial Intelligence Encyclopedia.
You can find the artificial intelligence knowledge you need at aiseries.oopy.io.

Artificial intelligence and robotics have made tremendous strides over the past two decades, as evidenced by just a few success stories, such as self-driving cars and facial recognition systems.
Shouldn't we say that these devices or systems possess superior representational capabilities and intelligence? In other words, could Rodney Brooks still underestimate the robot's representational capabilities and intelligence? Now, the tables have turned, and wouldn't it be possible for Moravec, not Brooks, to ultimately claim that his beliefs and choices were correct? After all, aren't all modern robots AI robots possessing superior representational capabilities and intelligence?
At this point, we cannot help but ask, as Brooks did: What exactly is intelligence?
--- From 「01_“Building a Robot”」

In the larger context of the break between logic and psychology in the late 19th century, Peirce, like Gottlob Frege, the father of modern mathematical logic, criticized psychologism. However, in the atmosphere of the cognitive science revolution in the latter half of the 20th century, Peirce's ideas opened the door to a reunion of these two academic fields.
It is time to seriously consider Peirce's idea that if a newborn chick can easily select grains to eat, why should such a selective instinct not be allowed only to humans, who must select the correct one among countless scientific hypotheses?
--- From “03_“Animal Cognition””

According to Sowa, who shows an attitude of learning even from the ontology of Lao Tzu's "Tao Te Ching," categories are called domains in database theory, types in artificial intelligence research, and classes in object-oriented systems, but no matter what you call them, the choice of category determines everything that will be represented in computer applications.
And any imperfections, distortions, or limitations inherent in the categorical framework inevitably limit the flexibility and generality of programs and databases.
--- From “06_“Formal Ontology of Knowledge Representation””

It's safe to say that in just a few years, there's virtually no robotics research that doesn't put artificial intelligence and machine learning at the forefront.
(…) So, is it safe to conclude that AI has taken the lead within the research community of computer science, artificial intelligence, and robotics experts since the AlphaGo shock? Considering the innovations in AI that have been popularized in recent years, such as generative AI, LLM, and ChatGPT, there seems to be considerable basis for this assessment.

--- From “09_“Current Status of AI Robotics””