Graduation Semester and Year
2021
Language
English
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
Computer Science and Engineering
First Advisor
Fillia Prof. Makedon
Second Advisor
Maria Dr. Kyrarini
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.
Keywords
Human robot interaction, User interfaces
Disciplines
Computer Sciences | Physical Sciences and Mathematics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Rajpathak, Kaustubh Kedar, "END-USER FRAMEWORK FOR ROBOT CONTROL" (2021). Computer Science and Engineering Theses. 413.
https://mavmatrix.uta.edu/cse_theses/413
Comments
Degree granted by The University of Texas at Arlington