END-USER FRAMEWORK FOR ROBOT CONTROL
Abstract
This thesis describes in detail a developed end-user framework for a humanrobot collaborative system for common tasks, such as pick and place. The system is designed for semi-automated pick and place tasks as well as manual operation making it flexible for multiple use-case scenarios. The goal of the system
is to make the robotic system multi-functional, easy to use with a graphical user
interface and should perform common tasks with the help of a human teammate. Integration with object recognition neural networks (YOLOv3) and an
RGB-Depth camera help automate pick and place tasks with a wide variety of
objects.