Heavy-duty autonomous towing vehicle engineered for airside cargo operations at commercial airports. The BRIDZA Airside AMR Tug autonomously transports cargo dollies, ULD containers, and baggage carts between terminals, aprons, and cargo facilities — operating 24/7 in all weather conditions without human drivers. Integrated GPS-RTK and SLAM navigation enables precise routing across expansive airside environments while maintaining full compliance with ICAO and local airfield safety regulations.
An Airport Cargo Airside AMR Autonomous Tug is a self-driving, heavy-duty tow tractor designed specifically for airside (restricted area beyond the terminal) cargo and freight operations at commercial airports. Unlike conventional tow tractors that require a human driver, the autonomous tug uses a combination of GPS-RTK positioning, LiDAR SLAM, and onboard perception to navigate the apron, taxiway service roads, and cargo ramp areas without human intervention.
The vehicle connects to standard airport cargo dollies, ULD (Unit Load Device) carts, and baggage trains via an automatic or semi-automatic hitch mechanism. It receives mission assignments from the airport's Cargo Operations Management System (COMS) or Warehouse Management System (WMS), plans optimal routes avoiding aircraft, ground support equipment, and other vehicles, then executes tow missions — picking up loaded dollies from aircraft stands and delivering them to cargo terminals, or returning empty dollies for the next turnaround.
How It Works:
Combines GPS-RTK (±2 cm on open apron), 3D LiDAR SLAM, stereo cameras, and wheel encoders for seamless navigation across all airside zones — from open taxiway service roads to GPS-shadowed areas near terminal buildings and cargo sheds. Sensor fusion ensures uninterrupted positioning regardless of environment.
Rated for 25-ton gross combined weight, the tug handles fully loaded ULD dollies, cargo trains (up to 4-5 dollies in a consist), and oversized freight platforms. Electric drivetrain delivers high torque at low speeds for smooth starts with heavy loads, protecting cargo integrity.
IP67-rated chassis and sealed sensor suite operate in rain, fog, snow, dust, and extreme temperatures (-20°C to +55°C). Sensor cleaning systems (air blast + wipers) maintain perception capability in adverse weather. Designed for 24/7 airside deployment with no weather-related downtime.
360° safety envelope using LiDAR, radar, ultrasonic sensors, and thermal cameras detects aircraft landing gear, ground support equipment, personnel, and foreign objects. Multi-zone deceleration (awareness → slow → stop) complies with ICAO airside safety zones. Emergency stop button and remote kill switch included.
Electro-mechanical hitch system with visual alignment guidance enables autonomous coupling and decoupling of standard airport cargo dollies and ULD carts. Compatible with IATA-standard dolly tow bars and pintle hooks. Optional auto-height adjustment for different dolly configurations.
Central fleet management system coordinates multiple autonomous tugs with dynamic task allocation, priority-based dispatching, and conflict resolution at intersections. Supports mixed-fleet operation alongside manned vehicles. Real-time telemetry dashboard provides full operational visibility to airport operations control.
LiFePO4 battery pack with hot-swap capability enables continuous 24/7 operation — swap depleted battery for fully charged pack in under 3 minutes. Opportunity charging during layover periods extends range further. Battery management system monitors cell health and optimizes charging cycles for maximum lifespan.
IEC 62443-compliant communication stack with encrypted V2X links, secure boot, OTA update capability, and network segmentation. All mission data encrypted at rest and in transit. Audit logging for every movement, decision, and system event — critical for airport security compliance.
The autonomous tug seamlessly integrates with existing airport operational systems through standardized APIs and protocols:
A typical airside autonomous tug deployment follows a structured 4-phase approach:
After aircraft landing and cargo door opening, ground staff load ULD containers onto dollies at the aircraft stand. The autonomous tug arrives on schedule, hitches the loaded dolly train (up to 5 dollies), and autonomously transports them to the cargo terminal's inbound breakdown area. Empty dollies are returned to designated staging areas for the next turnaround cycle.
Cargo terminal staff build ULDs on dollies based on the aircraft load plan. Once a dolly train is complete, the autonomous tug picks it up from the outbound staging lane and delivers it to the correct aircraft stand in synchronization with the flight's departure timeline. The system coordinates with A-CDM milestones to prevent early or late delivery.
Large airports with multiple cargo terminals, maintenance facilities, and remote stands require constant dolly and equipment repositioning. The autonomous tug performs scheduled shuttle routes between zones — moving empty dollies, transferring equipment, and repositioning resources — without occupying human driver resources for these repetitive transfers.
During night cargo peaks (typical for express courier operations) and seasonal surges, the autonomous tug fleet scales operations without additional staffing. While human operators work standard shifts, the tug fleet continues operating through the night, maintaining cargo throughput during the most labor-constrained periods.
Express courier operators (e.g., DHL, FedEx, UPS) running dedicated cargo flights require rapid dolly turnover between aircraft and sorting facilities. The autonomous tug provides just-in-time dolly delivery synchronized with sorting line capacity, eliminating dolly queuing and reducing aircraft ground time for time-critical freight operations.
Temperature-sensitive pharmaceutical and perishable cargo requires minimal exposure time on the apron. The autonomous tug's on-demand dispatch capability reduces dolly waiting time at aircraft stands. When paired with temperature-monitored dollies, the tug's telemetry system logs complete chain-of-custody data for regulatory compliance.
| Capability | Manual Tow Tractor (Human Driver) | BRIDZA Airside AMR Tug |
|---|---|---|
| Operating Hours | 8–12 hour shifts, limited by labor availability | 24/7 continuous, hot-swap battery |
| Navigation | Manual driving, radio dispatch coordination | Autonomous GPS-RTK + SLAM, no radio needed |
| Route Optimization | Driver-dependent, varies by experience | Algorithm-optimized, consistent best path |
| Mission Tracking | Radio check-ins, manual logging | Real-time GPS telemetry, automated reporting |
| Safety Monitoring | Driver awareness, limited visibility at night | 360° sensor suite, thermal camera, consistent detection |
| Labor Dependency | Requires certified airside drivers (scarce resource) | Zero drivers required, one remote supervisor per fleet |
| Scalability | Linear — each additional capacity requires one more driver | Fleet scaling via software, no recruiting bottleneck |
| Data Integration | Limited — manual data entry for KPIs | Automatic — every mission logged, API-integrated |
Airside driving requires specialized security clearance and certifications. Many airports face chronic shortages of qualified drivers, leading to cargo delays during peak hours and night operations. Autonomous tugs eliminate the dependency on scarce certified drivers.
Global air cargo volumes continue to grow, driven by e-commerce cross-border shipments and time-sensitive logistics. Airports need to handle more dolly movements without proportionally increasing ground handling staff. Autonomous tugs provide scalable capacity.
Airside environments are high-risk zones with aircraft, heavy equipment, and personnel in close proximity. Autonomous tugs with 360° sensor coverage, consistent speed control, and no fatigue-related errors help airports reduce airside incidents and meet ICAO safety standards.
An airport cargo airside AMR autonomous tug is a self-driving tow tractor designed for cargo and freight operations in the airside area of commercial airports. It autonomously transports cargo dollies, ULD containers, and baggage carts between aircraft stands and cargo terminals using GPS-RTK positioning, LiDAR SLAM navigation, and multi-sensor perception — without requiring a human driver onboard.
The tug uses a multi-layered navigation approach. On open apron areas, GPS-RTK provides centimeter-level accuracy. Near buildings and in GPS-degraded zones, 3D LiDAR SLAM takes over using pre-built high-definition maps. The system fuses GPS, LiDAR, camera, and wheel encoder data at 20 Hz for continuous, reliable positioning. Dynamic obstacle detection via 360° sensor coverage ensures safe navigation around aircraft, ground support equipment, and personnel.
The tug is rated for 25 tonnes gross combined weight (GCW), typically pulling 4–5 standard airport cargo dollies in a single train. The electro-mechanical hitch is compatible with IATA-standard dolly tow bars and pintle hooks. The electric drivetrain delivers high starting torque for smooth acceleration even with maximum load consists.
Yes. The tug is rated IP67 for the chassis and IP69K for sensors, designed to operate continuously in rain, snow, fog, dust, and temperatures from -20°C to +55°C. Integrated sensor cleaning systems (compressed air blast and wipers) maintain perception capability during precipitation. The vehicle is engineered for 24/7 airside deployment with no weather-related operational restrictions.
The tug connects to airport systems through REST APIs and MQTT protocols. Standard integrations include: Cargo Operations Management System (COMS) for mission assignment, A-CDM for turnaround synchronization, WMS for warehouse coordination, and A-SMGCS for airside traffic management. The fleet management system supports VDA 5050 protocol for multi-vendor fleet coordination. Typical API integration takes 2–4 weeks using standard connectors.
The tug complies with ISO 3691-4 (driverless industrial trucks), ISO 13482 (personal care robots safety), IEC 61508 SIL-2 (functional safety), and ICAO Annex 14 (aerodrome design and operations). It features 360° LiDAR + radar + ultrasonic + thermal camera obstacle detection, three-zone deceleration (awareness → slow → stop), emergency stop buttons, remote kill switch, and audible/visual warning systems.
Get a customized deployment plan for autonomous cargo tugs tailored to your airport's cargo operations.