# Cleaning robots for airports and train stations

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Last updated: 2026-09-04

## Application profile

Airports and stations combine large open circulation areas with near-continuous passenger traffic, luggage, service vehicles and changing operating conditions. Cleaning robotics therefore needs to handle not only area coverage but also dynamic obstacles and narrow cleaning windows.
- Typical areas: Terminal, concourse, circulation floors
- Key requirement: High pedestrian flow & dynamics
- Relevant models: Omnie, Mira

## Cleaning large circulation areas in dynamic operating windows

Terminal halls, connecting corridors and larger waiting areas offer substantial connected floor area but are rarely empty. Routes therefore need to be aligned with real passenger flows, luggage, events and operational activity.

Platforms, restricted security areas, outdoor surfaces and zones with special hazards should not be inferred from a normal indoor deployment and require separate technical and operational assessment.

## What matters in airports and stations

- Passenger flow: Peak periods, queues, luggage and traveller flows determine which zones can be cleaned autonomously and at what times.
- Operating zones: Public halls, security zones, platforms and service areas have different access, safety and cleaning requirements.
- Long route distances: Long routes place greater demands on battery planning, docking, water handling and real-world area productivity.
- Integration: Automatic doors, lifts and other building interfaces need project-specific assessment and may need to be included in the operating concept.

## Recommended models

- [Gausium Omnie](https://frisilogix.de/en/cleaning-robots/gausium-omnie): Omnie is designed for large, high-traffic indoor areas with advanced navigation and multiple cleaning modes.
- [Gausium Mira](https://frisilogix.de/en/cleaning-robots/gausium-mira): Mira can be relevant for clearly defined midsize hard-floor routes in side halls, lounges or administrative areas.

## Cleaning robot overview

If several floor profiles or robot models are relevant, the cleaning robots overview brings together all Gausium models, cleaning modes, cost information and application areas on one page.

[Compare cleaning robots for business](https://frisilogix.de/en/cleaning-robots)

## Commissioning process

1. Assess terminal or concourse areas, floor types, passenger flows, security zones and operating hours
2. Define suitable autonomous zones and time windows while accounting for doors, lifts, service traffic and docking
3. Test Omnie or Mira in a representative area under real pedestrian and operating conditions
4. Configure routes, docking, schedules and exception handling, train responsible staff and optimise operation using real run data

## FAQ

### Which airport or station areas are suitable for cleaning robots?

Large connected indoor areas such as terminal halls, connecting corridors and larger waiting or visitor zones are the strongest candidates. Security and outdoor zones require separate assessment.

### Can a robot clean during active passenger traffic?

Depending on traffic volume, it can. An on-site trial should include peak periods, luggage, queues and service traffic under realistic conditions.

### Which model is suitable for large terminals?

Omnie is the natural model class for large dynamic indoor areas. Mira can be assessed for midsize, clearly defined hard-floor zones.

### Are platforms and outdoor areas included?

No. Platforms, outdoor surfaces and special safety zones require separate technical and operational suitability checks.

## 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