Autonomous Vehicels
Self Driving Truck
Auto-DollyTug is an advanced autonomous, electric aircraft towing solution designed to optimize airport ground operations. By integrating a smart dolly with driverless tug technology, it enables safe, precise, and efficient aircraft movement, reducing emissions, operational costs, and turnaround time while enhancing overall ground safety.
Integration & Optimization
Works with airport software (like digital twin planning tools) to optimize vehicle movements based on flight schedules and operations.
Real-World Deployment & Testing
Changi Airport (Singapore) — ongoing trials of the latest generation to assess efficiency, maneuverability, and aircraft turnaround improvements.
Cincinnati/Northern Kentucky International Airport (CVG) — demonstrations of autonomous baggage tractor operations.
Stuttgart Airport (Germany) — trials under the Digital Testbed Air Cargo (DTAC) project to automate cargo transport.
Fully Autonomous
Fully automated from baggage hall through transfer to JCPL or High Loader
Sensors & Navigation
Uses LiDAR, visual cameras, and GPS/INS systems for real-time mapping and obstacle avoidance.
Robotics
Bi-directional robotic arms allow the vehicle to handle ULDs autonomously.
Control & Fleet Management
Can be integrated into a fleet management platform that tracks tasks, schedules, and vehicle performance.
Key Benefits
Higher Efficiency
Can carry more cargo per movement than traditional tug + dollies — up to 30–40% higher ULD capacity for the same train length.
Automation & Labor Savings
Reduces reliance on human drivers and ground staff for repetitive towing and handling tasks.
Environmental Impact
Zero emission electric vehicle helps reduce airport carbon footprint compared to diesel-powered tractors.
Space & Safety
Compact maneuvering and reduced need for human staff in airside areas improve safety and space utilization.
Explore the Future of Autonomous Transportation
Discover how self-driving trucks transform logistics through AI-powered navigation and operational efficiency.