Passenger flows
Peak periods, queues and changing movement patterns determine suitable routes and operating times.
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.
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.
Peak periods, queues and changing movement patterns determine suitable routes and operating times.
Gates, control areas, construction zones and temporary restrictions need to be reflected in maps and operating logic.
Entrances, main routes and waiting zones can combine different floor surfaces with both dry and wet soil.
Long or 24-hour operations require clearly defined cleaning windows, docking locations and responsibilities for support and maintenance.
The right model depends on layout, floor type, dirt profile and operating window. These FrisiLogix models are particularly relevant for this application.

Omnie is designed for high-traffic large floors and combines scrubbing, sweeping and dust mopping with advanced perception and navigation.
Gausium Omnie for airports, stations & terminalsAssess passenger flows, floor surfaces, safety zones and the actually accessible floor area on site
Include peak periods, control zones, luggage and transport routes and realistic cleaning windows in deployment planning
Test Omnie in a representative terminal or station area under real traffic conditions
Configure routes, docking and schedules, train responsible staff and fine-tune operation using data from the first runs
An on-site demo shows how the robot handles the actual layout, floor surfaces, traffic and available cleaning windows before a rollout decision is made.