The National Instruments Autonomous Robotics Competition is a challenging experience where students are pushed to the limit to create an autonomous vehicle that performs various tasks. We used National Instruments state of the art technology and software, myRIO and LabVIEW. Challenges faced are localisation, path planning and obstacle avoidance, all while trying to complete the tasks at hand.
Our design utilises techniques using a mecanum drive system, quadrature encoders and ultrasonic sensors in order to successfully navigate a changing environment accurately. The purpose of my thesis is to be a guide and mentor for future NIARC teams to give them an insight of what to expect and problems they may face. Our research will also serve those looking to find a simple way to successfully navigate a changing environment.
History
Table of Contents
1. Introduction -- 2. Literature review and background -- 3. Strategy and techniques to navigate environment -- 4. LabVIEW architecture -- 5. Conclusion -- Bibliography.
Notes
Empirical thesis.
Bibliography: pages 29-30
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
David Inglis
Rights
Copyright Ryan Safour 2017.
Copyright disclaimer: http://mq.edu.au/library/copyright