End-User Framework for Robot Control

Abstract

This paper showcases a developed end-user framework for a human-robot 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 robot multi-functional, easy to use with a graphical user interface and to perform common tasks with the help of a human teammate. Integration with object recognition neural network (YoloV3) and an RGB-Depth camera helps automate pick and place tasks with a wide variety of objects.