PhD and Masters Topics

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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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Space Robotics: Scene Understanding for Lunar/Mars Rover

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

Automating drone traffic management systems

Perception-to-action for collision avoidance using robotic boats

Continual Learning System

UAV Navigation in GPS Denied Environments

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

Search and Retrieve with a Fully Autonomous Aerial Manipulator

Submarine Manipulation

Manipulation in Nature

Conversational agents that can see

Coordinated control of multi-robot systems for dynamic task execution

Out of Line: Sequence Processing and Learning for Localization

Learning about environments through physical interaction

Neuromorphic sensors and engineering for place recognition

Towards Resilient Cyberphysical Systems

Safe autonomous driving through dense vegetation via interaction

High-speed vision controlled motion of flexible planar robotic arms

Increasing resilience of robotic systems through quickest change detection technology

Moving to See

Mobile Manipulation with Logistics

Neuro-symbolic learning via robotic exploration

Mining Robotics

Implicit representations for place recognition and robot localisation

“Dark“ Visual odometry for drone Navigation

Multi-UAV Navigation in GPS Denied Environments

Abstraction Reasoning for Mobile Robotics

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

Off-road Mobile Manipulation

Robust perception in dusty environments for autonomous drones

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

Reaching in Clutter using Force and Tactile Feedback

Real-time semantic perception for autonomous field robotics

High-speed robotic waste separation

Model predictive control of connected vehicle platoons

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

Place-informed Robotics and Autonomous Vehicles

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

Continously updating place descriptors

Very high-speed dynamic motion planning for arm robots

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

Estimation and control of networked cyberphysical systems

Terrain Traversability

Geometric-Semantic Representations for Infrastructure Monitoring and Maintenance

Semantic based onboard UAV navigation

Australian Robotic Inspection and Asset Management Hub

Robot Learning for Navigation, Interaction, and Complex Tasks using Large Language and Foundation Models

Cobot contact tasks through multi-sensory deep learning

Drone Ship Landing under Adverse Sea Condition

Safe autonomous driving through dense vegetation via advanced perception

Learning about objects by looking and manipulating

Robust Feature Selection and Correspondence for Visual Control of Robots

Multiple Manipulator Cooperation and Coordination

Deformable/Compliant Object Manipulation with Tactile Sensing

A soft robotic manipulator for spinal surgery

Tactile Sensing

Event-based localisation for ultra-fast systems

Robotic maintenance of equipment

Outdoor litter collection

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

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

Please note the pages are under construction. In the meantime, please contact robotics@qut.edu.au for information.