Real world air & land autonomy developments

Research Focus

The future is autonomy!


The first step for automation is sensing the environment with enough accuracy and resolution for the problem at hand.

Computer vision

The second step is detecting and tracking obstacles and free space in the environment.


Then the autonomous vehicle must identify safe and obstacle free paths to its destination.

Systems Integration

In order to achieve full autonomy safely and reliably it is necessary to integrate a variety of systems and components.


World class engineering!

Eduardo Martin

Chief R&D Engineer
Control and Sensor Fusion specialist

David Serret

R&D Engineer
LIDAR and INS specialist

Camilo Soto

Junior R&D Engineer
Computer vision specialist

Diego Alonso

Junior R&D Engineer
UAS and RPAS specialist

Fran Izquierdo

Mobile mapping and forestry applications expert