Course Title: Autonomous Systems
Part A: Course Overview
Course Title: Autonomous Systems
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
MANU2206 |
Bundoora Campus |
Undergraduate |
115H Aerospace, Mechanical & Manufacturing Engineering |
Face-to-Face |
Sem 2 2012, Sem 2 2013, Sem 2 2014, Sem 2 2015, Sem 2 2016 |
MANU2206 |
Bundoora Campus |
Undergraduate |
172H School of Engineering |
Face-to-Face |
Sem 2 2017, Sem 2 2018, Sem 2 2019, Sem 2 2020, Sem 1 2021, Sem 1 2022, Sem 1 2023, Sem 1 2024 |
MANU2480 |
RMIT University Vietnam |
Undergraduate |
172H School of Engineering |
Face-to-Face |
Viet3 2018, Viet1 2020, Viet1 2021, Viet1 2024 |
Course Coordinator: Dr Tu Le
Course Coordinator Phone: +61 3 9925 2216
Course Coordinator Email: tu.le@rmit.edu.au
Course Coordinator Location: 57.01.10
Course Coordinator Availability: Mon 10-11am & Fri 10-11am
Pre-requisite Courses and Assumed Knowledge and Capabilities
Required Prior Study
You should have satisfactorily completed the below courses before you commence this course:
- MANU1174 Automatic Control Systems and;
- one of: MANU2205 Introduction to Mechatronics OR
- MANU2488 Advanced Manufacturing and Mechatronics: What We Make and How We Make It
Alternatively, you may be able to demonstrate the required skills and knowledge before you start this course.
Contact your course coordinator if you think you may be eligible for recognition of prior learning.
Course Description
This course introduces you to various concepts and components of autonomous systems in an autonomous mobile robotics context. The main concepts covered include locomotion, vehicle kinematics, autonomous navigation and intelligent path planning and perception. System components include various types of sensors and actuators and state-of-the-art technologies.
In the laboratory practicals, you will devise strategies and create behaviours to be exhibited by an autonomous mobile robot. The robot equipped with the autonomous behaviours that you have designed and created, is expected to perform a complex set of tasks autonomously.
Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level.
This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onwards. See the WAM information web page for more information.
Objectives/Learning Outcomes/Capability Development
This course contributes to the following Program Learning Outcomes (PLOs) for:
BH068P23 Bachelor of Engineering (Advanced Manufacturing & Mechatronics) (Honours)
BH086AMH23 Bachelor of Engineering (Advanced Manufacturing & Mechatronics) (Honours) / Bachelor of Business
PLO 1: Demonstrate an in-depth understanding and knowledge of fundamental engineering and scientific theories, principles and concepts and apply advanced technical knowledge in specialist domain of engineering.
PLO 2: Utilise mathematics and engineering fundamentals, software, tools and techniques to design engineering systems for complex engineering challenges.
PLO 4: Apply systematic problem solving, design methods and information and project management to propose and implement creative and sustainable solutions with intellectual independence and cultural sensitivity.
PLO 5: Communicate respectfully and effectively with diverse audiences, employing a range of communication methods, practising professional and ethical conduct.
PLO 7: Collaborate and contribute as an effective team member in diverse, multi-level, multi-disciplinary teams, with commitment to First Nations peoples and globally inclusive perspectives and participation.
This course contributes to the following Program Learning Outcomes (PLOs) for:
BH068 Bachelor of Engineering (Advanced Manufacturing & Mechatronics) (Honours)
BH074 Bachelor of Engineering (Automotive Engineering) (Honours)
BH078 Bachelor of Engineering (Aerospace Engineering) (Honours)
BH082AEHDD Bachelor of Engineering (Aerospace Engineering) (Honours) / Bachelor of Business (Management)
BH084AEHDD Bachelor of Engineering (Automotive Engineering) (Honours) / Bachelor of Business (Management)
BH086AMHDD Bachelor of Engineering (Advanced Manufacturing & Mechatronics) (Honours) / Bachelor of Business (International Business)
1 Knowledge and Skill Base
1.1 Comprehensive, theory-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
2 Engineering Application Ability
2.2 Fluent application of engineering techniques, tools and resources.
2.3 Application of systematic engineering synthesis and design processes.
3 Professional and Personal Attributes
3.2 Effective oral and written communication in professional and lay domains.
3.3 Creative, innovative and pro-active demeanour.
3.6 Effective team membership and team leadership.
For more information on the program learning outcomes for your program, please see the program guide.
Upon successful completion of this course, you will be able to:
- Clarify problem definition based on a client’s needs for a system to achieve a level of autonomy, and devise a layout of locomotion and sensing requirements of the system that would be able to meet the client’s needs in an autonomous manner;
- Design a system with sensing, actuating and embedded processing components, required to run the defined task autonomously;
- Program the embedded processor of your designed system to gain machine intelligence in terms of perception and actuation; and
- Work effectively as part of a team to devise and implement experimental benchmarks to examine the performance of your designed system and the extent of its autonomy, stability and robustness.
Overview of Learning Activities
You will be actively engaged in a range of learning activities such as pre-recorded lectures, tutorials and laboratory sessions. In the pre-recorded lectures, you will learn the fundamentals of how to devise autonomous behaviours in an intelligent machine. In the tutorials, you will learn how to create programs in MATLAB and Simulink to implement the autonomous behaviours. In the lab sessions, you will put theory into practice. Delivery may be face to face, online or a mix of both.
This course will significantly enhance your employability by enriching your technical skills in the context of machine intelligence, and your teamwork and communication skills.
You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, and through links and material specific to this course that is available through myRMIT Studies Course.
Overview of Learning Resources
RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course. You will also use equipment and software packages in the laboratory for putting theory into practice in your practicals.
There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.
Overview of Assessment
This course has no hurdle requirements.
The assessment tasks are in one of two schedules: A or B. You will be advised at the start of the teaching period which of the schedules apply for any given teaching period and location.
|
Schedule A (Melbourne offering MANU2206) Assessment Task 1: Multiple-choice online quizzes Assessment Task 2: Programming and knowledge tests Assessment Task 3: Laboratory tests Assessment Task 4: Final test |
|
Schedule B (Vietnam offering MANU2480) Practical with Problem Solving Activity 2 Practical with Problem Solving Activity Lab Test 2 Assessment Task 3: Class Test |
There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.