Cutting edges
How we see the future of robots and navigation
Mission
We create autonomy software that enables compact drones and robots to drive itself.
The technology consists of many sophisticated components that allow autonomous operation in dynamic environments.
We rely on classic algorithms alongside the latest technologies (computer vision, deep learning), leveraging approaches that have consistently demonstrated success.
OUR TECHNOLOGY
1
slam
We create autonomy software that enables compact drones and robots to drive itself.
The technology consists of many sophisticated components that allow autonomous operation in dynamic environments.
2
PATH PLANNING
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COMPUTER VISION
4
Understanding the context makes difference
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DEEP LEARNING
areas of application
We create autonomy software that enables compact drones and robots to drive itself.
The technology consists of many sophisticated components that allow autonomous operation in dynamic environments.
We use classic proven algorithms (we rely on what has already proven effective) in combination with the latest optimized technologies.
Usecase
for warehouses
Carrying out inventories in large warehouses by drones; the difficulty is that usually drones are not intended for indoor flights, because there is a bad/absent GPS signal - additional explanations will be in next point.
for the military
Reconnaissance missions at long distances by drones under enabled EWs devices that jam the GPS signal; when ordinary drones fly into such zones, they fall.
for delivery
Our system can be installed on robots that in fact, Glovo/BoltFood couriers will be replaced, etc. Similar works already launch, but often they work on GPS. despite the fact that they work on the street, in conditions of dense construction, these robots also have problems with GPS navigation. it looks something like this
OUR PREFERENCE
High accuracy
Ability to move at high speed
Ability to move at high altitudes
The system works with cameras and sensors
We work without GPS
There is no ned that LIDAR sensor