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ComparisonHusqvarna Automower 320 NERA

Up to three

All robot lawn mowers. Every figure below is placed against the whole class, so a gap can be read against how much the class itself varies.

Where each one suits you.

The conditions each robot was assessed against, side by side. Rows marked in gold are where these machines genuinely differ.

Fit verdicts by condition for each robot
Condition Automower 320 NERA
Yard size
Under ¼ acre GoodRuntime caps at 70 minutes; under-quarter properties may require reduced cutting height or edge trimming separately.
¼ – ½ acre GoodEPOS positioning scales efficiently within 0.25–0.5 acre range. Typical cutting cycles complete in single runtime window.
Over ½ acre DependsProperties over 0.5 acres require multiple daily sessions or scheduled multi-hour mowing windows for full coverage.
Terrain
Mostly flat GoodOptimal for EPOS performance. Flat terrain maintains consistent satellite signal and maximizes traction control.
Gentle slopes GoodRated to 35-degree slopes. Moderate terrain up to 20 degrees shows reliable operation per owner reports.
Steep / hilly DependsManufacturer spec to 35 degrees but traction loss documented on wet slopes above 20 degrees. Seasonal drainage affects performance.
Grass type
Typical lawn grass GoodTypical lawn grasses (fescue, bluegrass, ryegrass) show standard blade wear and mowing efficiency.
Mixed / tall growth DependsTall fescue or native grass may require more frequent passes. Initial overgrown lots need manual cutting before deployment.
Thick (Bermuda / Zoysia) DependsThick sod or dense clover increases blade wear and firmware recalibration needs due to slower mowing cycles.
Boundary setup
Wireless required GoodEPOS virtual boundaries are the primary feature. Wireless enforcement avoids wire installation entirely.
Wire required PoorEPOS does not support traditional boundary wire. Physical wire operation not possible with this model.
No preference GoodEPOS virtual boundaries available exclusively. No wire fallback option if GNSS signal is lost.

A robot being poor for a condition is a fact about fit, not a fault. “Depends” means the record names a limit worth reading, not that the answer is unknown.

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Robovations classifies robots; it does not rank them. Nothing on this page is a recommendation, and no manufacturer influences a classification or its placement here.