Sensor fusion robotics works best when you design for failures: IMU + odometry + cameras/LiDAR + GNSS/RTK, tight calibration, time sync, and honest covariances. This guide covers fusion architectures and estimators (EKF/UKF, particle filters, factor graphs) plus a ROS2-ready blueprint for reliable localization in real robots, now.
Wire-free robot mower RTK accuracy is a tolerance game: “cm-level” can be real in open sky, but trees, buildings, and multipath can trigger sudden 30–50 cm shifts at the boundary. Learn how to test your yard, interpret fix vs float drops, and set safer virtual fences with practical margins and no-go buffers.
Most “GPS” in the field is uncorrected GNSS (SPP) and often sits around 1–5 m—fine for navigation, costly for staking and QA. RTK adds RTCM corrections (usually via NTRIP) and carrier-phase to deliver centimeter-level positioning when you maintain an RTK FIX, and shows when PPK or PPP is the smarter workflow.
Building your own RTK base station in 2026 can still pay off for offline work and compact areas, but network RTK via NTRIP is the default for most teams. Learn what production-grade requires—antenna siting, verified coordinates, correction delivery, monitoring, and datum/frame consistency.
