Gardena SILENO+ 1600
Product description

The robotic lawn mower Gardena SILENO+ 1600 is suitable for an area of approximately 1600 m2 according to the manufacturer’s recommendations. The area size takes into account the mower’s design parameters. The working area is defined by the boundary wire. The mowing method and the mowing movement is random. Continuous information about already mown area is not available. Robotic lawn mower returns to the charging station along the wire. The cutting width is 22 cm. The range for cutting height adjustment is from 20 mm to 60 mm. The robotic lawn mower Gardena SILENO+ 1600 can mow the area of the maximum slope of 19.3 degrees or 35 percent. The motor of Gardena SILENO+ 1600 is designed brushless. The battery capacity is 2.1 Ah, which represents the overall energy of 42 Wh by the system voltage 20 V. The charging time is approximately 60 minutes. The robotic lawn mower with the full charged battery can mow for 65 minutes. The mower weight with the battery included is 9.8 kg. For technical information about Gardena SILENO+ 1600 features and other parameters, see Technical specifications or visit manufacturer’s website.

Technical specifications

Product: Gardena SILENO+ 1600

Area Size Up to
(specified by the manufacturer):
1600 m2

Cutting Width: 22 cm

Cutting Heights Range: 20-60 mm

Blade speed: n/a rpm

Maximum slope (degrees): 19.3°

Maximum slope (percent): 35%

Motor Type: brushless


Battery Capacity: 2.1 Ah

System Voltage: 20 V

Number Of Batteries: 1.0

Battery Total Energy: 42 Wh

Charging Time: 60 min.

Maximum working time: 65 min.


Product Length: 630 mm

Product Width: 510 mm

Product Height: 250 mm

Weight incl. Battery: 9.8 kg

Guaranteed sound power level: 60 dB(A)

ver. 1902

For easy detection of the slope degree, we recommend using a digital spirit-level when selecting a robotic lawn mower. It allows you to measure the slope in degrees. To make sure that you correctly identify the maximum slope value on your lawn, it is necessary to measure it at multiple locations and take into account the highest value measured.