Questions about robotics, answered

General questions about the field: what counts as a robot, where AI actually helps, and who builds the machines. For questions about this site and how to start building, see the FAQ on the homepage.

Can I build my own robot?

Yes. Most beginner robots use an Arduino, ESP32, or Raspberry Pi with a couple of motors, a few sensors, and a motor driver, which cost very little. The hardest part is usually the control logic, which is exactly what you can practice risk-free in the simulators here before buying any parts.

What are some AI robotics projects for students, and how do I add AI?

Approachable AI-in-robotics projects include vision-based line or object detection with OpenCV, a reinforcement-learning controller for balancing or navigation, and sensor fusion that merges noisy readings into a reliable estimate. Get the classical control and sensing solid first, because AI usually sits on top of a working perception-and-control stack rather than replacing it. The sensor and control simulators here are a good foundation before you add a learned model.

Which AI is good for robotics?

It depends on the task: computer-vision models (often convolutional neural networks) for perception, reinforcement learning for control and navigation policies, and classical estimators such as Kalman filters for sensor fusion. Many robots combine a learned perception model with traditional control running on ROS 2. There is no single best AI; match the method to the problem.

What are five examples of robotics?

Five common categories are industrial arms (welding and assembly), autonomous mobile robots (warehouse and delivery bots), drones and other UAVs, humanoid and legged robots, and medical or surgical robots. Educational robots, like the line followers and maze solvers on this site, are an accessible sixth entry point.

What are the main types of robots?

Instead of a fixed number, robots group by role: manipulators (robotic arms), mobile robots (wheeled, legged, aerial, or underwater), collaborative robots (cobots), humanoids, and autonomous vehicles. Most real systems combine sensing, control, and actuation drawn from several of these categories.

What are the "big four" robotics companies?

In industrial robotics the "big four" are usually ABB, FANUC, KUKA, and Yaskawa, the largest makers of factory robot arms. They sit in a different space from consumer or research robotics, but they set many of the automation standards you will encounter.

Which country leads in robotics?

It depends on the measure. By robot density (robots per 10,000 workers) South Korea and Singapore lead; by total industrial robots installed, China is now the largest market, while Japan and Germany remain major manufacturers and Japan is a leading robot exporter. There is no single number one; it varies by metric and year.

What is the future of robotics?

Near-term trends include stronger perception (better vision and sensor fusion), robots that learn from data rather than only fixed rules, safer human-robot collaboration, and cheaper hardware that brings robotics into more homes, farms, and small businesses. For learners, that makes the fundamentals here, sensing, control, and planning, more valuable than ever, because they underpin every advanced system.

Where to start

Reading about robots only gets you so far. Pick a behaviour you want to understand (following a line, avoiding an obstacle, staying upright) and run it: the simulators are free and need no hardware, and each one links to the build that turns it into a real robot.