
Autonomous Navigation
Autonomous navigation combines perception, localization, planning and control so a machine can move toward goals with limited direct human input.
How it works
Sensor data informs a state estimate; planners choose feasible paths; controllers execute commands while monitoring hazards and progress.
Why it matters
Navigation is foundational for mobile robots, drones, vehicles and planetary rovers.
Advantages
- repeatable mobility
- reduced continuous operator workload
- operation in hazardous environments
Limitations
- edge cases and changing environments
- safety assurance
- sensor and map dependencies
See it in the Observatory
Capabilities depend on implementation, operating environment, training data, hardware and safety controls. Follow the connected records and sources before generalizing.