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Unconventional Methods for Interacting with a Robotics Workplace
Dvořák, Jakub ; Beran, Vítězslav (referee) ; Materna, Zdeněk (advisor)
The bachelor thesis focuses on non-traditional methods of interaction with a robotic workplace, with an emphasis on camera tracking of the user, control of the workplace using camera outputs and human-robot interaction. The main focus of the work is the integration of Azure Kinect, a human detection device, into the ARCOR2 robot programming system. This thesis presents an extension to ARCOR2 that uses Azure Kinect to obtain information about the users' location and motion, which is then used to control the workplace using gestures, and explores the possibilities of interacting with the robot workplace. This extension enables easier and more natural human-workplace interaction, contributing to more effective use of robots in industry and research. The result of this work is a functional system for tracking the user with a camera, including the possibility of using this information to program the robotic workstation. The result of the work further increases the efficiency of human-robot interactions and opens the door for further innovations in robot programming using the ARCOR2 system.
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