Robotics, Expert Systems, and Fuzzy Logic in Macro AI
Learn about the integration of AI and ML with robotics and various aspects of AI, including expert systems and fuzzy matching.
Robotics concepts
If AI is considered an umbrella term for machines mimicking how humans might work and reach conclusions, this is perhaps most visibly obvious with robotics, which is physically trying to reproduce the work of a human. The term robot is in and of itself a generic term that encompasses a lot of nuances, much like the term AI. ML is considered as powerful as it is because of the ability of machines to learn from past actions and behaviors. In that sense, perhaps they are considered more advanced than the underlying tech that powers robotics, but we felt it wasn’t fair to exclude robotics from AI because if a robot can make a meal, make a part for a car, or assist with surgery, it’s intelligent enough to be considered in the realm of AI.
Intersection of robotics and machine learning
The heart of innovations in this space will also come from ML being used in combination with robotics so that it can learn from the past. In the “Machine Learning and Deep Learning Deep Dive” chapter, we briefly touched on the idea of Boston Dynamics robot dogs not using ML. Even iRobot’s Roomba only recently got an AI upgrade in 2021 with the launch of its Roomba j7+. This shows that robotics may thrive on its own without the need for perhaps more advanced areas of AI, such as ML and DL, to be involved in its development as a product. Though robotics can stand on its own, we’re already seeing ways in which robotics is coming to the forefront in integrating AI with products on the ...