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RV3

RV-Tech• RV3• 2025
CleaningBüroHotelKrankenhaus

Description

Kompakter gewerblicher 4-in-1-Reinigungsroboter: Kehren, Saugen, Wischen und Schrubben in einem Gerät. 700 m²/h Flächenleistung, max. 15.000 m² Kartengröße. LiDAR-Navigation (30m) mit KI-Objekterkennung, Tiefenkamera und Teppicherkennung (automatisches Anheben der Mikrofaserwalze). All-in-One-Arbeitsstation: Wasser befüllen/entleeren, Reinigungsmittel dosieren, Laden, Kehrgut absaugen, Walzentrocknung. WLAN + LTE-SIM. DSGVO-konforme App mit kostenlosem Flottenmanagement. Optionaler mobiler Wassertank (30L/40L) für Einsatz ohne Wasseranschluss. CE, IEC 63327.

Category Cleaning
Manufacturer RV-Tech
Model RV3
Release Year 2025
Use Cases
BüroHotelKrankenhausPflegeheimEinzelhandelGastronomie

About the RV3

The RV3 is an autonomous cleaning robot by manufacturer RV-Tech weighing 18 kg. It uses LidarSlam with LiDAR (30m Reichweite), Tiefenkamera, Fallschutzsensoren. The cleaning capacity reaches up to 700 m²/h with a working width of 370 mm. The maximum speed is 0.6 m/s. The battery runtime is 4 hours with a charging time of 2 hours. The dimensions are 520 x 510 x 278 mm.

Use Cases

Typical deployment areas for autonomous cleaning robot:

Shopping Centers
Airports
Hospitals
Hotels
Warehouses
Office Buildings

Frequently Asked Questions about RV3

How much does the RV3 weigh?
The RV3 weighs 18 kg. The dimensions are 520 x 510 x 278 mm.
How long does the RV3 battery last?
The RV3 battery lasts 4 hours. Full charging time is 2 hours. It uses a Lithium-Ion battery.
What area can the RV3 cover?
The RV3 can clean up to 700 m² per hour with a working width of 370 mm.
What navigation does the RV3 use?
The RV3 uses LidarSlam and utilizes the following sensors: LiDAR (30m Reichweite), Tiefenkamera, Fallschutzsensoren, Stoßfänger, Linienlaser, Infrarotsensor, Teppicherkennung, KI-Objekterkennung.

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Investment costs

Price on request from manufacturer
Brushes, cleaning agents, etc.
Savings/year 67.500 €
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This robot cleans approx. 3,920 m²/day — manually that would take approx. 13.1 hours.