Passenger flow
Peak periods, queues, luggage and traveller flows determine which zones can be cleaned autonomously and at what times.
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.
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.
Peak periods, queues, luggage and traveller flows determine which zones can be cleaned autonomously and at what times.
Public halls, security zones, platforms and service areas have different access, safety and cleaning requirements.
Long routes place greater demands on battery planning, docking, water handling and real-world area productivity.
Automatic doors, lifts and other building interfaces need project-specific assessment and may need to be included in the operating concept.
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 large, high-traffic indoor areas with advanced navigation and multiple cleaning modes.
Gausium Omnie for terminals and transport halls
Mira can be relevant for clearly defined midsize hard-floor routes in side halls, lounges or administrative areas.
View Gausium MiraIf 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.
Assess terminal or concourse areas, floor types, passenger flows, security zones and operating hours
Define suitable autonomous zones and time windows while accounting for doors, lifts, service traffic and docking
Test Omnie or Mira in a representative area under real pedestrian and operating conditions
Configure routes, docking, schedules and exception handling, train responsible staff and optimise operation using real run data
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.