Finding the pose of a human within an image has a multitude of applications, such as human-machine interaction (gesture recognition, gaming), action recognition, positioning. An important application field for SICK is collaborative robotics where humans and robots can work next to each other. From a safety perspective it is of interest to map the human and robot positions in order to avoid collisions and injuries.
The task in this Master’s Thesis is to investigate a Deep Learning-based system that jointly finds the pose of a human and a robot arm in an image for this purpose.
Problems to address include:
For more information, contact R&D manager Ola Friman (firstname.lastname@example.org) and apply below at "ANSÖKAN" before the 19th of October. Please notice: Application must include CV, Cover letter and LADOK (study results including courses)
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