ROBOTICS SOLUTIONS
Aviation Robotics Solutions
Solutions overview
Autonomous AI robots for airport terminals and aviation facilities. Support airport operations consistently with AI-powered systems designed for high-traffic public areas. Built for terminals, concourses, and gate zones, they support cleaning, service, and operational tasks, reduce routine workload, and provide clear performance reporting for facility teams. Manage schedules and performance through an AI robotics app for multi-zone operations.
Designed for:
Airport terminals • Concourses & gates • Public restrooms
5-STEP DEPLOYMENT FRAMEWORK
How Robotics Solutions Are Deployed in Aviation
Our structured 5-step deployment process ensures safe, efficient integration of robotic solutions within your facility — improving operational performance while minimizing disruption.
Site walkthrough & route mapping
We map terminals, concourses, gate areas, service routes, and restricted zones to create safe paths and efficient task coverage.
Pilot run & coverage targets
Run a short pilot to validate system performance, safety, traffic flow, and operation across different zones and passenger volumes.
Deployment & shift scheduling
Systems are scheduled for both peak and off-peak operations, supporting cleaning routines, service tasks, and ongoing facility workflows.
Performance reporting
Track system usage, run history, and performance data across cleaning, service, and operational tasks to support visibility and compliance.
Support & fleet scaling
Remote monitoring, maintenance plans, and easy expansion across terminals or multi-airport portfolios without disruption.
Featured Solutions
Servi Plus
- Carries up to 88 lbs across 2–4 customizable trays
- 10–12 hour battery life with auto-charging for continuous operation
Standard Bots Core
- Built-in 3D vision system with no-code touchscreen programming
- 18 kg payload, 1.3 m reach, trusted by major operators
CenoBots SP50
- AI-powered navigation for spot or full coverage
- Long runtime ensures consistent cleaning with minimal supervision
Proven in the Real World
