Detail of the student project

Topic:Hluboké učení pro robotickou buňku typu Pick and Place
Department:Katedra kybernetiky
Supervisor:Ing. Varun Burde
Announce as:Diplomová práce, Bakalářská práce, Semestrální projekt
Description:The project is focused on exploring state-of-the-art monocular depth estimation algorithms and deploying them in industrial applications such as pick and place. Pick and place from a moving conveyor is a tedious job in industrial robotics; these setups often use RGBD cameras to find poses and gain a better understanding of the object. The idea is to replace the depth camera with just the RGB image using the monocular depth estimation algorithm. The project requires evaluating various methods and deploying the adequate method in an actual robotic cell at CIIRC, Testbed.
Responsible person: Petr Pošík