Digital Aerolus® developed an autonomous framework combining Artificial Intelligence with the math used in deep space navigation.
The proprietary technology used for Digital Aerolus drones can power a wide range of airborne vehicles (drone/UAV/UAS) as well as the ground (UGV), water (UWV), and underwater (UUV) vehicles.
We develop autonomous technology for anything that flies, floats, drives, or swims.
Digital Aerolus created a patented and proprietary software called Folded Geometry Code™, allowing autonomous vehicles to be internally referential, instead of relying on GPS, magnetometers other external sensors.
Digital Aerolus has created revolutionary systems, with 18 patents (granted or in-process) surrounding our autonomous technology.
Folded Geometry code (FGC™) is a proprietary operating system that manages multiple perspectives while integrating internal sensor data. Ground-based vehicles and other robotic devices can deploy this same FGC™ technology to navigate inside the canyons of a cityscape autonomously or anywhere that GPS signals are denied or compromised.
FGC™ constructs a virtual world, integrating and managing multiple separate vehicle and sensor views to enable the development of vision-driven AI behaviors. Our proprietary methodologies promise to help Digital Aerolus deliver truly autonomous vehicles safely to the market.
Our autonomous technology focuses on:
- Overcoming flaws in existing technologies with advanced control systems
- Supporting Behavioral languages and environment
- Integrating vision with vehicle movement
- Providing a suite of protected intellectual properties
- Developing customer-specific behaviors applicable across vehicle platforms
Our first commercial product using our technology is a line of industrial drones.
The proprietary flight software is utilized in the Aertos® line of commercial drones. Aertos drones are designed to fly indoor, inaccessible, and confined spaces, using our advanced technology, giving Aertos drones the ability to go where other commercial drones can’t go.