Case Studies

In this project, we and Loop Robots joined forces to create an autonomous disinfection robot for specifically for arable potatoes.

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.

The autonomous monitoring system consists of our Vertex drone platform equipped with a camera and artificial intelligence from ADI. To facilitate navigation inside the greenhouse, we used our proprietary Starling navigation system, which allows the drone to fly autonomously and to collect image data of the plants.

Working closely with the Deep Forestry Avular adjusted the Vertex94 drone as to meet Deep Forestry’s requirements allowing for precise forest inspection.

In cooperation with Hadek, experts on power plant chimney and ductwork protection, we build a new special purpose drone, designed to fly autonomously making the inspection of industrial chimneys faster, more efficient, and safer.

I-team global, a well-established player in the B2B cleaning industry, partnered up with Avular to jointly develop state-of-the-art autonomous cleaning machines. The first result of this partnership, the cobotic-65  is ready to enter the European market.

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

Industrial installations get bigger and bigger, and smart technology gets better and better. Enough reason for Avular and Sorama to team up and combine both companies’ technologies and expertise to provide a solution for these installations.

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.

RoNik carries out this subproject together with Avular. Avular has specific knowledge and expertise, in addition to that of RoNik.

The ADACORSA project focusses on delivering technical components for drone BVLOS operations at affordable prices, by adjusting components from the automotive industry. Furthermore, ADACORSA aims to increase the public acceptance of drones.

Before these autonomous vehicles can deliver their cargo, they need to know where they are and where they should go. Therefore, Vanderlande asked Avular to do a pilot trial with them and integrate an autonomous navigation system for these autonomous vehicles at airports.