Robots & AI
Robots act in the physical world. AI finds patterns in information. Put them together and machines can see, move, talk and make limited decisions. Explore what these systems can do, how they learn, why they make mistakes, and what humans still have to decide.
What Counts as a Robot?
A robot is more than a machine that looks human. It senses, processes information and acts on the world.
How Robots Sense the World
Robots do not have human senses, but cameras, lasers, microphones and pressure sensors can give them different kinds of information.
Making Robots Move
Motion sounds simple until a machine has to balance, avoid obstacles and place something exactly where it belongs.
How AI Learns Patterns
Modern AI often learns from examples rather than being given a hand-written rule for every situation.
Talking to Machines
Language AI predicts and generates patterns in words, but producing fluent sentences is not the same as knowing the world like a person.
Machines That Can See
Computer vision turns pixels into useful predictions about objects, faces, roads and movement.
Robots at Work
Robots are most useful where tasks are repetitive, dangerous, precise or physically difficult for people.
Cars That Make Decisions
Self-driving systems must turn sensor data into safe choices while the world keeps changing around them.
Mistakes, Bias and Limits
AI systems can be impressive and still fail in predictable ways if data, goals or testing are poor.
Where Robots and AI Go Next
Future machines may become more capable, but the most important changes will depend on how people choose to build and use them.