QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.

Filter by faculty:

Found 468 matching student topics

Displaying 169–180 of 468 results

Robotic intention visualisation

Complex manufacturing environments characterised by high value and high product mix manufacturing processes pose challenges to Human-Robot Collaboration (HRC). Allowing people to see what robots are ‘thinking’ will allow workers to efficiently collaborate with co-located robotic partners. A tighter integration of work routines requires improved approaches to support awareness in human-robotic co-working spaces. There is a need for solutions that also let people see what the robot is intending to do so that they can also efficiently adjust their actions …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Assessing visual acuity errors in pre-school children (CVER01)

Measuring visual acuity is in preschool children is challenging. In particular, young children will be prone to making mistakes in identifying symbols on eye charts, even when they can see what those symbols are, so called “false negative responses”.This project uses an established vision assessment protocol, EVA testing, and assesses the extent of false negative responses in this task. The protocol assesses the effects of an intervention, pointing to the target on a card, which may decrease false negative responses. …

Study level
PhD
Faculty
Faculty of Health
School
School of Clinical Sciences
Research centre(s)

Centre for Vision and Eye Research

Towards a proactive trust management: the quantification of return on trust

In today’s highly dynamic markets, companies seek to increase customer trust to gain a competitive advantage based on aspects such as customer engagement, retention, advocacy, and pricing. However, while a large body of trust research exists, little is known regarding the operative return on trust.The project explores these trust economics to quantify the impact of trust gains to guide organisations and utilise their resources more effectively. In this context, trust-related key performance indicators have to be identified to explore their …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Accountancy
Research centre(s)
Centre for Future Enterprise

Scheduling of vessel movements in channel constrained ports

International trade is heavily reliant on maritime transportation which constitutes 80% of total volume. Ports have a significant impact on the efficiency of maritime transportation, with significant delays to vessels observed in accessing or departing ports. These delays can be a result of constraints on wharf capacity, channel capacity, access to tugs and pilots, or a combination of these factors. This project will focus on the development of novel operations research techniques to optimise the efficiency of scheduling vessel movements …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

The benefits of custom fit compression garments on markers of performance and recovery

Cape Bionics has its foundations in the aerospace industry in the design of compression suits worn by astronauts on the international space station. The research which underpinned the design of these space suits has now been applied to sport as a means of improving performance and recovery in elite athletes.For compression garments to be effective they must fit perfectly and apply specific pressure regimes. Cape Bionics use technology from the medical and aerospace industry to provide custom fit compression garments …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences

Submarine manipulation

This project will explore and develop techniques for control and vision in submarines to allow for robust and effective manipulation capabilities - autonomous control of an underwater mobile manipulator in the presence of current and reactionary forces.Underwater maintenance: A submarine mobile manipulator can carry out underwater maintenance and monitoring, for example, dam wall maintenance or ship hull cleaning.Coral reef: A submarine mobile manipulator which can collect samples, remove rubbish, remove invasive species, and/or monitor.Alternatively, these same underlying ideas could be …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Identifying Indigenous contributions to knowledge

The Australian Census collects data every ten years to reflect who we are as a nation. But the data collected by the Census only tells part of our story.Indigenous people lived in Australia for thousands of years before the arrival of European settlers, accumulating a wealth of knowledge about Australia's land, climate, flora and fauna. Researchers have only begun tapping this knowledge as the basis for modern scientific research.This project will combine machine learning and text-analytics tools to develop a …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Gesture-based control of underwater helper-bots

Underwater robotic systems have been in use for several decades. In recent years, various groups have been adding manipulators and other payloads to increase their utility. The next frontier is to have human divers and robotic system collaborate safely and productively in the same space to jointly complete complex tasks. In this project, you'll explore gesture-based interaction to allow a diver and underwater robotic system to collaborate to complete various tasks. This will involve exploring vision processing and fusion algorithms, …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Perception-to-action for collision avoidance using robotic boats

Much like driving cars on our roads, there are rules around driving maritime systems (boats) on waterways regarding where you can drive and how to avoid and behave in potential collision situations.In this project, you'll explore and develop state-of-the-art perception and decision support solutions to allow robotic surface vessels (robot boats) to safely travel complex waterways in and around other human-driven vessels. This will involve diving deep into vision and laser-based sensor processing and fusion algorithms, as well as robust …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Moving to see

This PhD aims to investigate methods for enabling robots to intelligently move their perception systems to improve their view of a target object. Typically, robots capture images of their environment and then decide how to act: grasping an item, move to a location etc... However, sometimes it is necessary for a robot to gather more information in order to make a better decision. How can a robot decide on where to move its sensors (i.e. camera) such that it learns …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Reaching in clutter using force and tactile feedback

Reaching into cluttered and unstructured environments for robotic manipulation is still a largely unsolved problem. Current motion planning strategies for robots optimise for reaching while avoiding collisions within their environment. This is a fundamental problem when interacting with real-world environments as contact is inevitable. This PhD seeks to understand how we can use tactile or other sensory feedback and advanced control methods to exploit the environment for solving robotic tasks that are not achievable with current techniques. This PhD aims …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Search and retrieve with a fully autonomous aerial manipulator

The aim of this PhD is to develop an autonomous multirotor based aerial manipulator that is capable of searching an environment, visually identifying a payload, and performing a pick and-place type maneuver. Full 3D trajectories for the search stage of the flight need to be predefined, with the grasping maneuver generated dynamically once the payload is identified. The manipulator and payload interactions with the multirotor base need to be actively compensated for by the controller to ensure stable flight during …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Page 15 of 39

Contact us

If you have questions about the best options for you, the application process, your research topic, finding a supervisor or anything else, get in touch with us today.