
Signify
Using the Rover, Signify was able to reduce testing and re-aiming time and improve accuracy compared to traditional (by hand) measurement methods.
Discover how our solutions played a role in use cases.
We believe in a world where technology empowers people. We design and build the building blocks for smart, mobile robotic solutions that solve real-world challenges.
4 case studies in Robots

Using the Rover, Signify was able to reduce testing and re-aiming time and improve accuracy compared to traditional (by hand) measurement methods.

Potato diseases are a widespread problem that causes large economical losses for farmers and negative effects on the environment. Avular and Agrisim want to solve this problem by using robotics, artificial intelligence (AI) and big data for the prediction and early detection of potato diseases.

The MiCart project is a solution provided by Avular and Sorama, supported by Metropool Regio Eindhoven.MiCart is an autonomously driving robot with integrated cutting-edge sound camera systems and artificial intelligence. The robot can detect gas leaks and indicate the necessary maintenance of machines.

Avular and Sorama joined forces to develop an autonomous inspection robot for predictive maintenance in technical grids to secure reliable supply of electricity.