Definition
Autonomous navigation integrates perception, mapping, route planning, traffic control, and obstacle response. AI helps to recognize objects, estimate distances, predict the behavior of other participants and choose safe actions.
Example
The warehouse robot builds a route to the desired shelf, goes around people and returns to charge without manual control.
Why it matters
The term is important for robotics, drones, autonomous vehicles, logistics and augmented reality.
How it works
The system receives data from cameras, lidars, sensors and maps, estimates its position, builds a route and controls actuators.
Where it is used
- warehouse robots
- drones
- driverless vehicles
Limitations
Navigation is challenging in dynamic environments: people, weather, poor lighting, unexpected obstacles, and sensor errors can cause disruptions.
FAQ
Why is “Autonomous Navigation” useful to know?
The term is important for robotics, drones, autonomous vehicles, logistics and augmented reality.