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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Outdoor litter collection

High-speed robotic waste separation

Automating drone traffic management systems

Place-informed Robotics and Autonomous Vehicles

Manipulation in Nature

Neuro-symbolic learning via robotic exploration

Off-road Mobile Manipulation

Continual Learning System

Mobile Manipulation with Logistics

Very high-speed dynamic motion planning for arm robots

Out of Line: Sequence Processing and Learning for Localization

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

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

Multi-UAV Navigation in GPS Denied Environments

Model predictive control of connected vehicle platoons

Submarine Manipulation

Robust Feature Selection and Correspondence for Visual Control of Robots

Robust perception in dusty environments for autonomous drones

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

Increasing resilience of robotic systems through quickest change detection technology

Implicit representations for place recognition and robot localisation

Geometric-Semantic Representations for Infrastructure Monitoring and Maintenance

“Dark“ Visual odometry for drone Navigation

Tactile Sensing

Space Robotics: Scene Understanding for Lunar/Mars Rover

Neural Radiance Fields (NeRF) for mapping and modelling natural ecosystems

UAV Navigation in GPS Denied Environments

Search and Retrieve with a Fully Autonomous Aerial Manipulator

Multiple Manipulator Cooperation and Coordination

Perception-to-action for collision avoidance using robotic boats

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

Learning about objects by looking and manipulating

Terrain Traversability

Towards Resilient Cyberphysical Systems

Australian Robotic Inspection and Asset Management Hub

Semantic based onboard UAV navigation

Real-time semantic perception for autonomous field robotics

Moving to See

Learning about environments through physical interaction

Abstraction Reasoning for Mobile Robotics

Robot Learning for Navigation, Interaction, and Complex Tasks

Safe autonomous driving through dense vegetation via advanced perception

Mining Robotics

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

High-speed vision controlled motion of flexible planar robotic arms

Coordinated control of multi-robot systems for dynamic task execution

Event-based localisation for ultra-fast systems

Continously updating place descriptors

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

Cobot contact tasks through multi-sensory deep learning

Deformable/Compliant Object Manipulation with Tactile Sensing

Reaching in Clutter using Force and Tactile Feedback

Conversational agents that can see

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

Neuromorphic sensors and engineering for place recognition

Safe autonomous driving through dense vegetation via interaction

Estimation and control of networked cyberphysical systems

Robotic maintenance of equipment

Drone Ship Landing under Adverse Sea Condition

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.