MowerLab

Trust & Evaluation Standards

Independent Robotic Mower Evaluation

No scoring manipulation. No affiliate bias. Every model evaluated from raw manufacturer specifications.

  • • No affiliate deals or sponsored placement
  • • Raw manufacturer data only
  • • No inferred or guessed specifications

Using The Data

How to use MowerLab

1. Define your property

  • area
  • slope
  • complexity

2. Compare models

  • use Core Systems and specs
  • ignore marketing claims

3. Select best fit

  • based on confirmed capabilities only

Comparison Quality

Why most comparisons fail

Most buyer guides compare price and area only. That removes the two constraints that determine whether a robotic mower will actually work on a property: slope and navigation. The result is a recommendation that looks simple but fails under real terrain, poor signal conditions, or multi-zone complexity.

Typical comparison sites

  • compare price and area only
  • ignore slope and navigation
  • produce bad recommendations

MowerLab approach

  • slope-first evaluation
  • navigation system clarity
  • no cross-category ranking

Data Transparency

Structured for direct comparison

Source

Manufacturer specifications only

Processing

No normalization of vendor terminology

Output

Structured for direct comparison

MowerLab

MowerLab / Methodology

How we evaluate
robotic mowers

No scoring rubrics. No affiliate deals. Raw specification data extracted directly from manufacturer sources, structured for property-specific comparison.

Evaluation Framework

What we measure

Most product comparisons stop at price and headline area. That tells you almost nothing about real-world fit. Three dimensions actually determine whether a mower works on a specific property:

Slope

45°

Maximum gradient the mower can navigate. Most residential properties stay under 20°. Above 35° the hardware requirements change significantly.

Navigation

cm

GPS accuracy class determines perimeter precision, multi-zone capability, and whether boundary wire is required at all.

Area

Rated coverage in square meters under optimal conditions. Real throughput varies with slope, obstacles, and cutting frequency.

Navigation Systems

RTK vs. Network RTK: what it actually means

Navigation accuracy is the single most important differentiator between robotic mower platforms. The terminology is often used loosely by manufacturers. Here is what each system actually requires and delivers.

RTK

Real-Time Kinematic

The mower receives correction data from a physical base station, either installed on-site or via a local reference network. Positioning accuracy reaches 2–4 cm under clear sky.

  • Local base station or NTRIP network
  • Corrections transmitted in real time
  • 2–4 cm typical horizontal accuracy
  • Degrades in heavy canopy
  • No cellular dependency for core positioning
NetRTK / Network RTK

Network RTK

Correction data is delivered over cellular from a cloud-based reference station grid. No physical base station is required, but accuracy depends on network availability at all times.

  • Cloud reference station network
  • No hardware base station required
  • 2–5 cm accuracy under ideal conditions
  • Requires continuous cellular coverage
  • Monthly subscription may apply
Practical distinction: RTK is more reliable in low-coverage areas and does not incur ongoing network fees. NetRTK trades infrastructure cost for subscription dependency. Neither is inherently more accurate. The difference is where the corrections come from, not the precision of the result.

Terrain Capability

Why slope dominates the decision

Gradient capability is more than a number. A mower rated to 35° requires a different wheelbase geometry, motor torque curve, and blade engagement system than one rated to 20°. Below a model's rated threshold, performance is generally consistent. Above it, the hardware design changes materially.

0 – 15°
Most residential lawns
15 to 25°
Moderate. Most AWD models handle this.
25 to 35°
Steep. AWD and strong torque are required.
35 to 45°
Extreme. Only specialised hardware applies.

We record the manufacturer-rated maximum slope in degrees for every model. Where the spec is given only in percent grade, we convert it. We do not adjust or interpret the figure.

Recommendations

What "Best Fit" means

MowerLab does not rank mowers on a universal scale. Best Fit is property-relative. A mower that is a poor choice for a flat suburban lawn may be the only viable option for a sloped rural property.

Definition: Best Fit identifies the model whose confirmed specifications most closely match the combination of lawn area, gradient, and navigation requirement you specify, without extrapolation or scoring adjustment.

01

No universal ranking

A mower suited to a 1,500 m² flat lawn cannot be meaningfully ranked against one built for 5,000 m² at 40°. They serve different purposes entirely.

02

Spec must be confirmed

If a parameter is missing from manufacturer data, it is marked absent, not inferred from similar models. Gaps remain visible instead of being silently filled.

03

Hard limits are hard

A mower rated to 20° is not recommended for a 22° slope with a caveat. It is excluded. Capability limits are treated as binary thresholds.

04

Pricing as context

Price is captured and displayed but does not influence capability matching. What the mower can do is separate from what it costs.

Data Integrity

Sources and accuracy

All data is extracted directly from manufacturer product pages, specification sheets, and official Shopify product endpoints. Vendor terminology is preserved verbatim. Proprietary system names are not normalized or translated into generic equivalents.

Data is extracted at a point in time and may not reflect subsequent manufacturer updates. The extraction date is recorded on each product record. Pricing reflects the date of extraction.

We do not accept sponsored placement, affiliate arrangements, or manufacturer-provided summaries. If a product lacks a public specification, that specification is absent from its record.

MowerLab | Data Acquisition Engine v1.0

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Next Step

Find the right mower for your property

Use confirmed area, slope, and navigation constraints to narrow the field before comparing price, feature set, and operating model.