Keywords
Robotics, Automation, PID Control, Robot dynamics, Image processing
Abstract
In this thesis, a full design, development and application of an autonomous robotic automation system using vision feedback is performed. To realize this system, a cylindrical manipulator configuration is implemented, using a personal computer (PC) based PID controller from National Instruments. Full autonomous control will be achieved via a programmable human machine interface (HMI) developed on a PC using Borland C++ Builder. The vision feedback position control is accomplished using an ordinary "off-the-shelf" web camera. The manuscript is organized as follows; After Chapter 1, an introduction to automation history and its role in the manufacturing industry, Chapter 2 discusses and outlines the development of the robotic kinematics and dynamics of the system. A control strategy is also developed and simulated in this chapter. Chapter 3 discusses color image processing and shows the development of the algorithm used for the vision feedback position control. Chapter 4 outlines the system development, which includes the hardware and software. Chapter 5 concludes with a summary, and improvement section. The process used as a basis for the design and development of this thesis of this thesis topic was constructed from a manual capacitor orientation check test station. A more detailed definition and objective is presented in the introduction.
Notes
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Graduation Date
2004
Semester
Fall
Advisor
Qu, Zhihua
Degree
Master of Science in Electrical Engineering (M.S.E.E.)
College
College of Engineering and Computer Science
Department
Electrical and Computer Engineering
Degree Program
Electrical Engineering
Format
application/pdf
Identifier
CFE0000277
URL
http://purl.fcla.edu/fcla/etd/CFE0000277
Language
English
Release Date
December 2004
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
STARS Citation
Rosino, Jeffery, "Autonomous Robotic Automation Systemwith Vision Feedback" (2004). Electronic Theses and Dissertations. 234.
https://stars.library.ucf.edu/etd/234