Aurrigo International, a Coventry company listed on AIM, builds autonomous airside vehicles, including baggage tugs and passenger shuttles that drive themselves. Singapore Changi (SIN) contracted four of its Auto-DollyTugs after two years of trials.
Founded in 2014 with about 110 staff, it makes the Auto-DollyTug, the Auto-Shuttle and Auto-Connect, which manages mixed fleets of autonomous vehicles; Auto-Sim models airside operations before a rollout. It raised 14.1 million pounds in September 2025.
Aviation Solutions has approved the Auto-DollyTug for its network of more than 60 airports including Amsterdam Schiphol (AMS), and pilots run at Zurich (ZRH) with Swissport and at East Midlands (EMA). A 6.28 million pound contract from Ultra Global in March 2026 is with one of its own large shareholders. Its 2026 interim results showed autonomous revenue down, which the company put down to contract timing.
Aviation AI deployments and updates
01 / Contracted
25 autonomous guided vehicles for UK airport and passenger-transit use, £6.28 million Aurrigo contract
Aurrigo International said on 9 March 2026 that it had won a £6.28 million contract from Ultra Global to design and build 25 autonomous guided vehicles for UK airport and passenger-transit use.
It is a related-party deal, because Ultra Global's owner is a substantial Aurrigo shareholder.
Aurrigo was granted a ground-handling licence at East Midlands Airport to support the roll-out of its autonomous ground support equipment, the company said on 3 March 2026.
The licence covered a trial. Zag Daily reported the same day that it formed part of a proof of concept handling cargo for UPS with two Auto-Cargo vehicles and one Auto-Shuttle, and that no commercial contracts were in place. According to Zag Daily, the permission ran to 30 June 2026.
Changi Airport Group and Aurrigo agreed to bring in four autonomous Auto-DollyTugs to pilot underwing operations, Aurrigo announced on 14 May 2024.
The last two of the four vehicles were delivered in January 2025, Aurrigo said in its results statement of 19 May 2025, and all-weather testing under fleet operations was then under way.
Royal Schiphol Group and KLM are trialling Aurrigo's Auto-DollyTug, an all-electric self-driving baggage tractor, to move bags for passengers with long layovers from the aircraft to a temporary secure storage area. Aurrigo said on 25 February 2025 that the first phase had begun in August 2024, testing the route out of that storage area.
The vehicle navigates with LiDAR sensors and 360-degree cameras, and an operator is always on board during the trial to intervene if needed, according to Aurrigo. Schiphol handles around 31,000 transfer bags on an average day, most of them in the morning, by Aurrigo's account.
The next steps were busier routes and, if those succeeded, tests at aircraft stands by the end of 2025. Aerostack has found no published result from the stand tests.
Schiphol's commercial unit, Aviation Solutions, also markets the Auto-DollyTug to other airports. That is a sales arrangement, not evidence of deployment elsewhere.
All-electric autonomous ground vehicle that combines the function of a baggage tractor and an airport dolly in a single compact unit. Carries one Unit Load Device (ULD) on board and tows up to four conventional dollies or two cargo dollies simultaneously.
The problem it addresses
Reduces labour requirements for airside baggage and cargo handling, improves turn-around times for widebody flights, and addresses increasing labour shortages and sustainability targets at airports by replacing conventional tug-and-dolly combinations with a single electric autonomous vehicle.
Key features
All-electric autonomous operation with manual override
Carries one ULD on board; tows up to four conventional dollies or two cargo dollies
Bi-directional robotic arms for autonomous ULD loading and unloading
Patented sideways drive system for direct lateral movement
4 more features
360-degree tank-turn capability
LiDAR sensors and 360-degree cameras for obstacle detection and navigation
Advanced situational awareness and 360-degree obstacle detection
Integrates with Auto-Connect fleet management platform for scheduling and monitoring
Technical specifications (5)
Propulsion: all-electric battery-powered
Load capacity: one ULD on board plus tow of up to four conventional dollies (combined up to 25 tonnes tow capacity per Changi deployment context)
Drive system: patented omni-directional sideways drive and 360-degree tank turn
Sensing: LiDAR sensors, 360-degree cameras
Operation modes: fully autonomous / manual driven
Verified deployments
Singapore Changi (SIN) – Aurrigo Auto-DollyTug pilot at Changi, four vehiclesAmsterdam Schiphol (AMS) – Aurrigo Auto-DollyTug autonomous baggage vehicle trial at Schiphol with KLM
3D digital twin simulation and modelling software platform for airport airside operations. Uses flight schedule data to drive simulation of all vehicle movements required for flight servicing and turnaround.
The problem it addresses
Allows airports and ground handlers to visualise and optimise existing airside operations and assess the impact of new technologies, such as autonomous vehicles and charging infrastructure, in a digital environment before physical deployment, reducing risk and supporting data-driven planning.
Key features
Flight schedule-driven simulation of all vehicle movements for flight servicing and turnaround
Derives service missions required for every arrival and departure
Baggage and cargo-driven data models
Representative road network covering indoor and outdoor airside environments
4 more features
Configurable via database and web GUI
Simulation accessible via web browser from any location
Representative vehicle fleet modelling
Supports planning for autonomous vehicle and EV charging infrastructure integration
Technical specifications (3)
Interface: web browser accessible
Configuration: database and web GUI
Data inputs: airport flight schedules, baggage and cargo data
Purpose-built cyber-resilient fleet management and data visualisation software platform designed for use with the Auto-DollyTug autonomous vehicle fleet.
The problem it addresses
Provides the operational command and control layer required to deploy and manage fleets of autonomous airside vehicles, enabling scheduling, monitoring, and coordination of multiple Auto-DollyTug units in a live airport environment.
Key features
Cyber-resilient architecture
Fleet task assignment and scheduling for autonomous vehicles
Real-time awareness of aviation traffic, stand allocation, and baggage system status
Data visualisation of fleet and airport operational status
Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.
Aerostack companies register
Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.