Project Description

With the rise of mobile robots in our daily lives such as robotic vacuum cleaners, lawn mower robots, drones and self-driving cars, we see that navigation in unstructured environments is becoming increasingly relevant. This is also noticeable in the rise of new applications for autonomous navigation in shipping, agriculture applications, the nuclear sector, food, pharmaceuticals, etc.
The first necessary step to achieve collision-free navigation in such environments is to estimate the robot location and the geometry of the environment. The robot location can be determined based on different sensor technologies such as GNSS or laser, but unfortunately no sensor works flawlessly under all circumstances. A lot of sub centimetric localization technologies also use a map of the environment; that map must created at first. It is necessary to optimally combine the right sensor technologies in order to construct a map of the environment in a robust manner and at the same time determine the robot location in this map; in robotics literature this is called SLAM: Simultaneous Localization and Mapping. This TETRA project aims to transfer state-of-the-art SLAM technology to the Flemish industry in order to improve their competitive position.

The target audience of this project are mainly active in the logistics sector, the construction sector and the agricultural sector, and more specifically: the logistics integrators, shipping companies, site managers or architects and agricultural companies.
As mentioned above, there are also many other sectors that benefit from SLAM technology.

Bring integrators into contact with new localization and map building technologies and evaluate their applicability in (at least) two case studies;
Challenge suppliers to deploy their technology within a promising field of application;
To inform umbrella organizations of state-of-the-art technology developments within the domain of localization and sensor fusion;
Enable end users to estimate whether the use of a mobile platform in their company can be interesting from a technical, cost and sustainability point of view.