2026 Robot Mower Navigation Study

RTK is dominant, but increasingly hybrid

Satellite positioning appears across a large share of current models, usually as RTK, network RTK, GNSS, EPOS, or a branded derivative. Many of those machines also add cameras or VSLAM for obstacle handling and local positioning, so “RTK mower” increasingly describes the global positioning layer rather than the entire navigation stack.

Where LiDAR changes the tradeoff

LiDAR can reduce dependence on an external satellite reference environment and can be attractive around buildings, tree cover, and complex geometry. It does not eliminate every navigation constraint: line-of-sight, reflective surfaces, object recognition, map quality, and the manufacturer’s software implementation still matter.

Vision is usually a second layer, not a simple replacement

Camera and VSLAM systems can support obstacle recognition, local localization, edge understanding, and recovery when another positioning source is imperfect. The dataset shows why “RTK vs vision” can be a false binary: many products deliberately combine the two.

Physical boundary systems are not automatically obsolete

Boundary-wire systems trade installation effort for a very explicit operating perimeter. For some simple lawns, that predictability can remain useful. Wire-free systems are more flexible when zones or boundaries change, but they shift more responsibility to positioning hardware and software.

Methodology and classification

This study uses navigation descriptions captured in the YardVerdicts Robot Mower Database. For the exclusive “primary architecture” chart, rows mentioning LiDAR are classified as LiDAR-led first; otherwise RTK/GNSS/EPOS/RTKn systems are grouped as satellite-led, followed by vision-led, physical-boundary, and other/hybrid. The headline technology counts are non-exclusive, because one mower can legitimately contain both RTK and vision.