SLAM: what it means.
Simultaneous localization and mapping builds a representation of an environment while estimating a vehicle’s or robot’s position within it. MathWorks describes visual and LiDAR approaches as well as use of other sensors. (MathWorks: SLAM)
Motion estimates, sensor observations and loop closure contribute different information. The map and trajectory can accumulate error, and the method must address the challenges of the actual environment. (MathWorks: SLAM)
Put the definition to work.
SLAM is software and mathematics, not a type of integrated circuit. Its sensor processing and optimization run on computing hardware. (MathWorks: SLAM)
Questions to ask next.
Use these questions as a reading checklist, not as a device-selection recommendation. Exact manufacturer documentation takes priority over a general definition.
- Sensor and mapping approach
- Environment and accuracy requirements
- Integration with planning and control
For the broader explanation, explore the electronics inside robots. This page defines the term; the companion guide connects it to the rest of the system.
Common SLAM questions.
Does SLAM itself decide every movement a robot should make?
No. Mapping and localization are distinct from selecting a route and controlling actuators. They provide information that those other system functions can use. (MathWorks: SLAM)