Document Type
Article
Abstract
This paper showcases 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 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.
Publication Date
7-2-2021
Language
English
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Rajpathak, Kaustubh; Kodur, Krishna Chaitanya; Kyrarini, Maria; and Makedon, Fillia, "End-User Framework for Robot Control" (2021). Association of Computing Machinery Open Access Agreement Publications. 65.
https://mavmatrix.uta.edu/utalibraries_acmoapubs/65