PhD Topics

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

Place-informed Robotics and Autonomous Vehicles

Out of Line: Sequence Processing and Learning for Localization

Mining Robotics

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

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

Neuromorphic sensors and engineering for place recognition

Event-based localisation for ultra-fast systems

Continously updating place descriptors

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

Abstraction Reasoning for Mobile Robotics

“Dark“ Visual odometry for drone Navigation

Robust perception in dusty environments for autonomous drones

Real-time semantic perception for autonomous field robotics

UAV Navigation in GPS Denied Environments

Multi-UAV Navigation in GPS Denied Environments

Automating drone traffic management systems

Robust Feature Selection and Correspondence for Visual Control of Robots

Coordinated control of multi-robot systems for dynamic task execution

Model predictive control of connected vehicle platoons

Towards Resilient Cyberphysical Systems

Estimation and control of networked cyberphysical systems

Drone Ship Landing under Adverse Sea Condition

Continual Learning System

Robot Learning for Navigation, Interaction, and Complex Tasks

Australian Inspection and Asset Management Hub Long-term and large-scale mapping Detection and prediction of change Active perception Robotic mobile manipulation

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

Geometric-Semantic Representations for Infrastructure Monitoring and Maintenance

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

Semantic based onboard UAV navigation

Safe autonomous driving through dense vegetation via advanced perception

Space Robotics: Scene Understanding for Lunar/Mars Rover

Implicit representations for place recognition and robot localisation

Very high-speed dynamic motion planning for arm robots

High-speed vision controlled motion of flexible planar robotic arms

High-speed robotic waste separation

Outdoor litter collection

Robotic maintenance of equipment

Cobot contact tasks through multi-sensory deep learning

Off-road Mobile Manipulation

Manipulation in Nature

Mobile Manipulation with Logistics

Submarine Manipulation

Multiple Manipulator Cooperation and Coordination

Tactile Sensing

Deformable/Compliant Object Manipulation with Tactile Sensing

Terrain Traversability

Search and Retrieve with a Fully Autonomous Aerial Manipulator

Reaching in Clutter using Force and Tactile Feedback

Moving to See

Perception-to-action for collision avoidance using robotic boats

Safe autonomous driving through dense vegetation via interaction

Neuro-symbolic learning via robotic exploration

Learning about objects by looking and manipulating

Learning about environments through physical interaction

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

Increasing resilience of robotic systems through quickest change detection technology

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