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Autonomous wireless controlled robotic arm to pick up and drop tiny object

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thesis
posted on 28.03.2022, 12:32 by Justin Zhurawel
The precise movement of a robotic arm is considered challenging, but having to pick up and drop a tiny object wirelessly and autonomously is even harder. The robotic arm will be required to pick up and drop a tiny object autonomously wile also being able to take user input through wireless control. The arm being controlled by a wireless communication system poses a hurdle in terms of data transfer and retention. The main aim of this research is to provide an overview of the methods, specifications and functional requirements of wirelessly controlling a 5 DOF robotic arm. There are certain design challenges that need to be achieved in order for the precise movement of the robotic arm to pick up a tiny object wirelessly. Skills that will be exercised and expanded upon include the use of a 5 DOF robotic arm, control system engineering wireless communication by radio frequency transceivers, MATLAB/Arduino and embedded type coding. Further research and development can be implemented for feedback data from the gripper to further its functionality. The report that follows will outline the experimental methods used and the results obtained through circuit data testing. The main focus of the research is based on the transmission of data and its retention in a control system. As such, further research is needed to design and produce wireless control systems that have a higher degree of accuracy to further improve their functions.

History

Table of Contents

Chapter 1. Introduction -- Chapter 2. Background and related work -- Chapter 3. Literature review -- Chapter 4. Proposed work -- Chapter 5. Experiment procedures -- Chapter 6. Results -- Chapter 7. Discussion & conclusion -- 8. Future work -- 9. Abbreviations -- Appendices -- References.

Notes

Bibliography: pages 60-61 Empirical thesis.

Awarding Institution

Macquarie University

Degree Type

Thesis bachelor honours

Degree

BSc (Hons), Macquarie University, Faculty of Science and Engineering, School of Engineering

Department, Centre or School

School of Engineering

Year of Award

2017

Principal Supervisor

Subhas Mukhopadhyay

Rights

Copyright Justin Zhurawel 2017. Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (61 pages colour illustrations)

Former Identifiers

mq:70380 http://hdl.handle.net/1959.14/1263186

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