AIRPORTS AND TRANSPORT
Cleaning Robots for Airports and Stations.
Ensures the highest standards of cleanliness in terminals, boarding lounges and entrances without interrupting passenger flow. Autonomous night-time operation.
Autonomous cleaning in transport infrastructure
Airports, train stations and ports handle millions of passengers a year under strict sanitary regulations. Manual cleaning is costly, visible to the traveller and difficult to scale. PRESERVE_0__ robots operate in night windows with full autonomy, covering indoor terminals and outdoor access, generating compliance reports for audits and adapting to restricted airport zones through configurable exclusion maps.
0
Interference with passengers
6.000
m²/h outdoors
100%
Traceability of clean areas
24/7
Operational availability
Robots recomendados
Soluciones ATROX para este sector.
Robot Camarero
S977
Robot sweeper for outdoor use: driveways, platforms, parking areas and service roads. Up to 6,000 m²/h.
Ver ficha completaRobot Camarero
S95
AMR indoor robot for terminals, departure lounges and corridors. Sweeps, scrubs and vacuums 2,000 m²/h. Quiet (65 dBA).
Ver ficha completaRobot Camarero
S76
Cleaning robot for medium-sized surfaces. Ideal for boarding gates and low traffic areas.
Ver ficha completaBenefits for airports and terminals
Compliance with ICAO sanitary regulations and airport regulations
Zero interference with passenger traffic thanks to LiDAR + AI detection
Programmable night window operation per zone and terminal
Automatic reporting of covered areas for quality audits
Configurable exclusion zones for security restricted areas
38% reduction in cleaning costs vs. manual equipment
Frequently asked questions about airport robots
can robots operate in security restricted areas?+
do robots comply with airport noise regulations?+
can you clean both indoors and outdoors?+
how do you manage several robots in a large airport?+
Take airport cleanliness to the next level
European terminals already operate with ATROX robots. Request a feasibility study without obligation.
Request feasibility study





