ZACO X1000

RV-Tech• X1000• 2024
CleaningBüroRestaurantEinzelhandel
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Description

Professioneller gewerblicher Saugroboter im kompakten Microbot-Format. 20.000 Pa Saugkraft, 250 m²/h Flächenleistung, bis zu 1.000 m² pro Ladezyklus. Modulares Design mit wechselbaren Reinigungsmodulen (Doppelwalze/Direktsaugung). 3L Zyklon-Staubbehälter mit HEPA-13-Filter. LiDAR + Dual-Kamera + 6× ToF-Navigation mit KI-Objekterkennung. 2 wechselbare Li-Ion-Akkus, 6h Laufzeit. 5-Zoll-Touchscreen, offline-fähig. Flottenmanagement via FieldBots OS. Plug & Play, kein komplexes Setup nötig. Multi-Floor-Mapping. Finalist ISSA PULIRE 2025 Product of the Year.

Category Cleaning
Manufacturer RV-Tech
Model X1000
Release Year 2024
Use Cases
BüroRestaurantEinzelhandelHotelBildungseinrichtungEinkaufszentrumLager

Downloads & Media

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About the ZACO X1000

The ZACO X1000 is an autonomous cleaning robot by manufacturer RV-Tech weighing 11 kg. It uses LidarSlam with LiDAR (12m Reichweite), Dual-Kamera, 6× ToF-Sensoren. The cleaning capacity reaches up to 250 m²/h with a working width of 381 mm. The battery runtime is 6 hours with a charging time of 5 hours. The dimensions are 376 x 371 x 366 mm.

Use Cases

Typical deployment areas for autonomous cleaning robot:

Shopping Centers
Airports
Hospitals
Hotels
Warehouses
Office Buildings

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Frequently Asked Questions about ZACO X1000

How much does the ZACO X1000 weigh?
The ZACO X1000 weighs 11 kg. The dimensions are 376 x 371 x 366 mm.
How long does the ZACO X1000 battery last?
The ZACO X1000 battery lasts 6 hours. Full charging time is 5 hours. It uses a Lithium-Ion battery.
What area can the ZACO X1000 cover?
The ZACO X1000 can clean up to 250 m² per hour with a working width of 381 mm.
What navigation does the ZACO X1000 use?
The ZACO X1000 uses LidarSlam and utilizes the following sensors: LiDAR (12m Reichweite), Dual-Kamera, 6× ToF-Sensoren, 3D-ToF-Sensor, Ultraschallsensor, 6-Achsen-Inertialsensor (Gyro), KI-Objekterkennung.

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Savings/year 67.500 €
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This robot cleans approx. 1,400 m²/day — manually that would take approx. 4.7 hours.

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