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.
Found 145 matching student topics
Displaying 121–132 of 145 results
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
Physics-informed machine learning
Recent advances in computer vision have demonstrated superhuman performance on a variety of visual tasks including image classification, object detection, human pose estimation and human analysis. However, current approaches for achieving these results center around models that purely learn from large-scale datasets with highly complex neural network architectures. Despite the impressive performance, pure data-driven models usually lack robustness, interpretability, and adherence to physical constraints or commonsense reasoning.As in the real world, the visual world of computer vision is governed by …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Women returning to construction after career interruptions
The architecture, engineering, and construction (AEC) industry is known to have a fast-paced and demanding working environment. Companies operate in a competitive market with tight project deadlines. The stringent work environment is perceived as one of the main barriers in career progression for women and can be challenging for women to return to work after career interruptions.This project focuses on three big questions:What are the types of career interruption?What motivates women to return to work in the AEC sector?Do these “return-to-work” policies/work practices work?
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Enhancing 3D visual understanding through multimodal data fusion
The demand for 3D scene understanding through point clouds is rapidly growing in diverse applications, including augmented and virtual reality, autonomous driving, robotics, and environment monitoring. However, the field faces challenges due to limited data availability and predefined categories. Training deep 3D networks effectively for sparse LiDAR point clouds requires significant amounts of annotated data, which is both time-consuming and expensive. Building on the advancements in 2D models that leverage the power of image and language knowledge, our project aims …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
A soft robotic manipulator for spinal surgery
The geriatric population in Australia (4.2 million 2020, ABS), is growing steadily with numbers expected to double in the coming years. Incidences of spinal disorders requiring surgical treatment are therefore predicted to increase, incurring an estimated lifetime cost of AUD 3.7 billion per case (The Treasury). Robotics, an increasingly important component of modern medicine, is well suited to address the minimally invasive surgical needs of treating the spine.This project proposes the use of a soft-robotic manipulator to carry out spinal …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Re-localisation in natural environments
Re-localisation in robotics involves the process of determining a robot's current pose, consisting of its position and orientation. This can either be within a previously mapped and known environment (i.e. prior map) or relative to another robot in a multi-agent setup. Re-localisation is essential for enabling robots to perform tasks such as autonomous monitoring and exploration seamlessly, even when they encounter temporary challenges in precisely tracking their location in GPS-degraded environments. For instance, consider the 'wake-up' problem, where a robot …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Evaluating the performance of PODs due to composite load models with high levels of embedded Distributed PVs (D-PV)
Power oscillation Damper (POD) in South QLD are used to provide sufficient damping to inter-area mode of oscillations (electro-mechanical modes). These oscillatory modes often change their characteristics due to changes in load dynamics and the inherent transmission system topology.While the interconnections between generators and transmission lines have not changed over the recent years, there is a significant change in the embedded load dynamics. With high penetration of rooftop PV (including PV distributed at LV and MV level), in South QLD, …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Wearable neuro-imaging and spatial experience
Our built environment changes our brain function. There is considerable interest from many research fields upon the positive and negative health and wellbeing effects of our environments. This research area explores how architectural environments and spaces impact experience and mood using wearable brain-imaging technology.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
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