ENN581 Robot Motion, Control and Planning
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | ENN581 |
|---|---|
| Prerequisite(s): | EGH432 and EGH437 |
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $1,118 |
| Domestic tuition unit fee | $3,672 |
| International unit fee | $5,040 |
Unit Outline: Semester 2 2024, Gardens Point, Internal
| Unit code: | ENN581 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | EGH432 and EGH437 |
| Coordinator: | Krishna Manaswi Digumarti | krishnamanaswi.digumarti@qut.edu.au |
Overview
This unit will provide knowledge on principal aspects of robot motion, control and planning which is crucial in Robotics. This will provide an understanding of the dynamics, kinematics and control of mobile and manipulator arm robots.
Learning Outcomes
On successful completion of this unit you will be able to:
- Critically analyse and reflect on the dynamics of mobile and manipulator arm robots
- Critically analyse and reflect on the kinematics of mobile and manipulator arm robots
- Design and implement programming and simulation knowledge to complex robotics problems
Content
The content of this unit will include:
- Introduction to dynamics and dynamic models
- Approaches to control
- Full and under actuation, notion of task and configuration space
- Kinematics
Learning Approaches
You can expect the following activities in this unit:
- Blended learning and interactive lectures by well-experienced teaching staff.
- Practicums for simulation and coding
Feedback on Learning and Assessment
Feedback will be given regularly throughout the semester by tutors and lecturers.
Tutors and lecturers are available for feedback and advice in the lab sessions.
Assessment
Overview
The assessments include multiple individual quizzes and software-based design exercises to assess the knowledge gained through this unit.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Quizzes
The quizzes will test your knowledge in the unit in an iterative way, your understanding of dynamics and kinematics, approaches to control to full and under actuated robots, including notions of task and configuration space.
Assessment: Software based design exercises
These authentic software based design exercises will evaluate your ability to apply programming and simulation techniques related to simulation and control of robotic dynamics (under and full actuated).
Assessment: Examination
Exam, with problem solving tasks
Academic Integrity
Students are expected to engage in learning and assessment at QUT with honesty, transparency and fairness. Maintaining academic integrity means upholding these principles and demonstrating valuable professional capabilities based on ethical foundations.
Failure to maintain academic integrity can take many forms. It includes cheating in examinations, plagiarism, self-plagiarism, collusion, and submitting an assessment item completed by another person (e.g. contract cheating). It can also include providing your assessment to another entity, such as to a person or website.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Further details of QUT’s approach to academic integrity are outlined in the Academic integrity policy and the Student Code of Conduct. Breaching QUT’s Academic integrity policy is regarded as student misconduct and can lead to the imposition of penalties ranging from a grade reduction to exclusion from QUT.
Resources
You have access to lab spaces and workshops at QUT and can use a range of tools after receiving an induction.
Learning material in this unit will be managed from QUT's Learning Management System (LMS)
Risk Assessment Statement
You will undertake lectures and tutorials in the traditional classrooms and lecture theatres. As such, there are no extraordinary workplace health and safety issues associated with these components of the unit.
You will be required to undertake practical sessions in the laboratory under the supervision of the lecturer and technical staff of the School. In any laboratory practicals you will be advised of the requirements of safe and responsible behaviour and will be required to wear appropriate protective items (e.g. closed shoes).
You will undergo a health and safety induction before the commencement of the practical sessions and will be issued with a safety induction card. If you do not have a safety induction card you will be denied access to laboratories.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.EN52 Master of Robotics and Artificial Intelligence
- Demonstrate and apply advanced and specialist discipline knowledge, concepts and practices in Robotics and AI
Relates to: Quizzes, Software based design exercises, Examination - Critically analyse, evaluate and apply appropriate methods to Robotics and AI problems to achieve research-informed solutions
Relates to: Software based design exercises
EN72 Master of Advanced Robotics and Artificial Intelligence
- Demonstrate and apply advanced and specialist discipline knowledge, concepts and practices in Advanced Robotics and AI and Data Analytics domains
Relates to: Quizzes, Software based design exercises, Examination - Critically analyse, evaluate and apply appropriate methods to problems to achieve research-informed solutions in Advanced Robotics and AI and Data Analytics domains
Relates to: Software based design exercises
EN79 Graduate Diploma in Engineering Studies
- Demonstrate and apply advanced discipline knowledge, concepts and practices as they relate to contemporary Engineering practice
Relates to: Quizzes, Software based design exercises, Examination - Analyse and evaluate Engineering problems using technical approaches informed by contemporary practice and leading edge research to achieve innovative, critically informed solutions
Relates to: Software based design exercises