PhD and Masters Topics

  • PhD and Masters Topics
The available PhD and Masters topics are listed by Program. Please click on a category to search.
All applications are required to be lodged via the regular QUT process. Please see our application page here.
All topics are available to study as a Doctor of Philosophy or Masters of Philosophy program.
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Robust Feature Selection and Correspondence for Visual Control of Robots

UAV Remote Sensing and AI for Environmental Monitoring in Antarctica and in Polar Regions

From Chat to Chores: The Future of LLM-Powered Service Robots

Search and Retrieve with a Fully Autonomous Aerial Manipulator

Abstraction Reasoning for Mobile Robotics

Towards Resilient Cyberphysical Systems

Learning about environments through physical interaction

Australian Robotic Inspection and Asset Management Hub

“Dark“ Visual odometry for drone Navigation

Segmentation of Underwater Imagery

Continual Learning System

Manipulation in Nature

Safe autonomous driving through dense vegetation via interaction

Conversational agents that can see

Learning about objects by looking and manipulating

Increasing resilience of robotic systems through quickest change detection technology

Advancing precision control in atomic force microscopy

Real-time semantic perception for autonomous field robotics

Estimation and control of networked cyberphysical systems

Out of Line: Sequence Processing and Learning for Localization

Perception-to-action for collision avoidance using robotic boats

Multiple Manipulator Cooperation and Coordination

Enhancing CubeSat Collision Avoidance Approaches

Coordinated control of multi-robot systems for dynamic task execution

Robust perception in dusty environments for autonomous drones

Mining Robotics

Multi-UAV Navigation in GPS Denied Environments

Continously updating place descriptors

UAV Navigation in GPS Denied Environments

Model predictive control of connected vehicle platoons

Off-road Mobile Manipulation

High-speed robotic waste separation

Cut Deep: Cutting the Deep network layers for Efficient Representation Learning

Re-Evolving Nature’s Best Positioning Systems for People and Their Machines: Australian Research Council Laureate Fellowship 2022-2027

Event-based localisation for ultra-fast systems

Mobile Manipulation with Logistics

Terrain Traversability

Tactile Sensing

Space Robotics: Scene Understanding for Lunar/Mars Rover

Very high-speed dynamic motion planning for arm robots

Geometric-Semantic Representations for Infrastructure Monitoring and Maintenance

Automating drone traffic management systems

Cobot contact tasks through multi-sensory deep learning

Safe autonomous driving through dense vegetation via advanced perception

Outdoor litter collection

Neuromorphic sensors and engineering for place recognition

Moving to See

Implicit representations for place recognition and robot localisation

Advancing Space Exploration Through Formation Flight of CubeSats

Reaching in Clutter using Force and Tactile Feedback

Deformable/Compliant Object Manipulation with Tactile Sensing

High-speed vision controlled motion of flexible planar robotic arms

Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots: AUSMURI project

Semantic based onboard UAV navigation

Robotic maintenance of equipment

Neuro-symbolic learning via robotic exploration

Deep Learning for Robotics in Open-World Conditions: Uncertainty, Continuous Learning, Active Learning

See 3D: Bridging the Appearance-Geometry gap for 6-DoF, cm-precise visual localization

Submarine Manipulation

Place-informed Robotics and Autonomous Vehicles

A soft robotic manipulator for spinal surgery

Drone Ship Landing under Adverse Sea Condition

Robot Learning for Everyday Tasks with Large Language Models, Imitation Learning and NeRFs

Space Robotics: Resilient Perception (& Localisation) for Lunar/Mars Rovers

You can also submit an Expression of Interest to study with us at any time. Please complete the form below:

    Please select which research program you are interested in. Further details can be found above:
    Please note the pages are under construction. In the meantime, please contact robotics@qut.edu.au for information.