# Cleaning Robots for Airports, Stations & Terminals

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Last updated: 2026-08-23

## Application profile

Airports, stations and terminals combine large open floors with constantly changing passenger flows and long operating hours. Autonomous floor cleaning works best when main routes, restricted areas, peak periods and realistic cleaning windows are considered from the start.
- Typical areas: Terminal, station, check-in, gate areas
- Key requirement: Large floors & public traffic
- Relevant model: Gausium Omnie

## Dynamic transport floors require more than raw productivity

At transport hubs, the usable cleaning area changes continuously. Passengers, luggage, queues, transport carts and security processes all influence routes and operating speed. An autonomous cleaning robot therefore needs to manage more than square metres: it must recognise changing situations reliably and fit its cleaning task into live operations.

Omnie is designed for large, dynamic and high-traffic floors and combines scrubbing, sweeping and dust mopping with multimodal navigation and AI-assisted spot cleaning. Which areas can be automated during public operation is assessed for each site.

## Planning dynamic transport floors

- Passenger flows: Peak periods, queues and changing movement patterns determine suitable routes and operating times.
- Restricted and safety zones: Gates, control areas, construction zones and temporary restrictions need to be reflected in maps and operating logic.
- Floor and soil profile: Entrances, main routes and waiting zones can combine different floor surfaces with both dry and wet soil.
- Operating windows: Long or 24-hour operations require clearly defined cleaning windows, docking locations and responsibilities for support and maintenance.

## Recommended models

- [Gausium Omnie](https://frisilogix.de/en/cleaning-robots/gausium-omnie): Omnie is designed for high-traffic large floors and combines scrubbing, sweeping and dust mopping with advanced perception and navigation.

## Commissioning process

1. Assess passenger flows, floor surfaces, safety zones and the actually accessible floor area on site
2. Include peak periods, control zones, luggage and transport routes and realistic cleaning windows in deployment planning
3. Test Omnie in a representative terminal or station area under real traffic conditions
4. Configure routes, docking and schedules, train responsible staff and fine-tune operation using data from the first runs

## FAQ

### Which cleaning robot is suitable for airports and stations?

Omnie is particularly relevant for large, open and high-traffic transport floors because cleaning productivity and dynamic navigation are required at the same time.

### Can a cleaning robot operate during public opening hours?

Depending on the area, it can be possible, but it needs to be validated on site. Passenger flows, safety rules and peak periods determine suitable routes and operating windows.

### Which transport areas are good candidates for automation?

Typical candidates include broad main routes, check-in and waiting zones, terminal floors and other connected transport areas with recurring floor-cleaning tasks.

### How is the business case assessed on transport floors?

Relevant factors include the actually accessible area, cleaning frequency, current labour or machine productivity, operating hours, docking setup and the share of the route that can be automated.

## Cost and next step

Use the FrisiLogix cost calculator for an initial purchase/leasing comparison: https://frisilogix.de/en/cleaning-robots/cost-calculator
On-site demo and project assessment: https://frisilogix.de/en/contact
