Unit Synopsis
This unit will introduce you to robotics and artificial intelligence in autonomous systems. You will learn the principles of robotic manipulators, mobile robots, robotic vision systems, forward kinematics, inverse kinematics of robotic manipulators, and programming. You will program industrial and mobile robots using Python programming language to model robotic systems mathematically, plan their path trajectories and predict and avoid collision with objects in the surrounding environment by fusing information from various sensors. The Robotic Operating System (ROS) is used with Gazebo robotic simulator to build and test various robotic applications. You are introduced to Linux operating system and will learn different ROS commands to test and troubleshoot real-world robotic systems. In addition, you will complete laboratory activities with real robots to strengthen your knowledge before completing a project in Gazebo simulated environment to solve a real-world problem. This unit supports the UN sustainable development goal 9- industry, innovation and infrastructure by discussing sustainable industrialisation using robotic applications.
Details
| Level | Undergraduate |
|---|---|
| Unit Level | 3 |
| Credit Points | 6 |
| Student Contribution Band | SCA Band 2 |
| Fraction of Full-Time Student Load | 0.125 |
| Pre-requisites or Co-requisites |
Prerequisites: ENEM12010 Engineering Dynamics AND MATH11219 Applied Calculus.Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework). |
| Class Timetable | View Unit Timetable |
| Residential School |
Compulsory Residential School View Unit Residential School |
Unit Availabilities from Term 1 - 2027
Term 1 - 2027 Profile
Attendance Requirements
All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
Recommended Student Time Commitment
Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.
Assessment Tasks
To see assessment details from an earlier availability, please search via a previous term.
This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).
Past Exams
All University policies are available on the Policy web site, however you may wish to directly view the following policies below.
This list is not an exhaustive list of all University policies. The full list of policies are available on the Policy web site.
Feedback, Recommendations and Responses
Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.
Source: SUTE Data
The response rate to the student unit evaluation survey is low.
Students should be encouraged to participate in SUTE surveys through announcements and in-class reminders.
Students were encouraged to participate in the SUTE survey during the weekly online sessions, with regular reminders also provided. However, despite these efforts, student participation in the survey remained low.
Source: SUTE Survey
Student feedback indicated low overall satisfaction with the unit and clarity of unit requirements.
Overall student satisfaction and clarity of unit requirements should be improved by providing clearer weekly learning expectations, assessment requirements, and consistent guidance throughout the term.
In Progress
Source: SUTE Survey
Students requested earlier access to learning materials and assessment information.
Learning materials and assessment information should be released earlier by preparing and reviewing the required resources a few weeks before each teaching week.
In Progress
Source: SUTE Survey
Student participation in the SUTE survey remained low despite regular reminders and encouragement.
Students should be reminded of the importance of the SUTE survey and how their feedback can help improve the unit and support the continuation of effective learning practices.
In Progress
To see Learning Outcomes from an earlier availability, please search via a previous term.