Navigation & SLAM
Odometry
Odometry is the estimation of a robot's change in pose over time from onboard motion measurements, such as wheel encoder counts, IMU integration, or visual and LiDAR feature tracking. Because each increment carries error, purely odometric estimates drift without bound and are typically fused with loop closures or global localization. Visual-inertial odometry is standard on GPS-denied aerial and legged platforms.
Why it matters for physical AI
Nearly every mobile robot's state estimator is built on odometry, and its drift characteristics determine how much a system must rely on mapping, beacons, or learned corrections.
Build physical AI
Put these concepts to work on real hardware
Axol is a dual-arm robot built for physical AI — teleoperate it, collect demonstrations, and deploy learned policies out of the box.