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Operator Actions Recognition using Deep Learning

Gaston Geenslaan 8, 3001 Leuven

Goal of the internship The detection and recognition of operator actions from a data streams is nowadays a popular challenge, with the potential to aid in operator fast training, monitoring and fault detection. In this internship the aim is to study the state of the art available techniques that ad...

Powertrain Model Integration in a Full Vehicle Simulation Context

Gaston Geenslaan 8, Leuven or Oude Diestersebaan 133, Lommel

Real-life data is needed to develop and validate algorithms for many different applications that are becoming more autonomous, ranging from logistics, robotics, agricultural or commercial vehicle applications. A small footprint data capturing system that can easily be added to these applications wil...

Digital twin for smart drilling setup

Gaston Geenslaan 8, 3001 Leuven

Goal of the internship In response to modern challenges, like the continuing transition to a service based economy and the demand for highly customized products, industry is moving through a fourth industrial revolution. This is characterized by interconnectivity of products and players and facilit...

Ergonomic assembly process scoring using Blender

Gaston Geenslaan 8, 3001 Leuven

Goal of the internship Operators are still much more flexible than robots and machines to execute assembly tasks. They can easily switch tasks, they can easily move around, they can easily communicate, work together, correct mistakes, … However operators are facing work environments which often do ...

Evaluation of 6DOF pose estimation on industrial RGBD data

Gaston Geenslaan 8, 3001 Leuven OR Oude Diestersebaan 133, 3920 Lommel

Goal of the internschip Most robot applications in industry are programmed to handle only objects in predefined positions. In order to improve the flexibility of robotic systems there is a need for robust visual sensor input. We are interested in the recognition of known objects (known from CAD dat...

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