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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Towards Resilient Cyberphysical Systems

Terrain Traversability

Submarine Manipulation

Geometric-Semantic Representations for Infrastructure Monitoring and Maintenance

Robust perception in dusty environments for autonomous drones

A soft robotic manipulator for spinal surgery

Event-based localisation for ultra-fast systems

Advancing Space Exploration Through Formation Flight of CubeSats

Out of Line: Sequence Processing and Learning for Localization

Outdoor litter collection

Off-road Mobile Manipulation

Implicit representations for place recognition and robot localisation

Tactile Sensing

Semantic based onboard UAV navigation

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

Safe autonomous driving through dense vegetation via advanced perception

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

Learning about environments through physical interaction

Robust Feature Selection and Correspondence for Visual Control of Robots

Reaching in Clutter using Force and Tactile Feedback

Moving to See

High-speed robotic waste separation

Very high-speed dynamic motion planning for arm robots

Continously updating place descriptors

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

Manipulation in Nature

Neuromorphic sensors and engineering for place recognition

Drone Ship Landing under Adverse Sea Condition

Mining Robotics

Mobile Manipulation with Logistics

Australian Robotic Inspection and Asset Management Hub

Place-informed Robotics and Autonomous Vehicles

Search and Retrieve with a Fully Autonomous Aerial Manipulator

Estimation and control of networked cyberphysical systems

Model predictive control of connected vehicle platoons

Coordinated control of multi-robot systems for dynamic task execution

Cobot contact tasks through multi-sensory deep learning

Deformable/Compliant Object Manipulation with Tactile Sensing

Learning about objects by looking and manipulating

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

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

“Dark“ Visual odometry for drone Navigation

Real-time semantic perception for autonomous field robotics

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

Abstraction Reasoning for Mobile Robotics

Enhancing CubeSat Collision Avoidance Approaches

Continual Learning System

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

Increasing resilience of robotic systems through quickest change detection technology

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

Automating drone traffic management systems

Perception-to-action for collision avoidance using robotic boats

UAV Navigation in GPS Denied Environments

Neuro-symbolic learning via robotic exploration

Robotic maintenance of equipment

Space Robotics: Scene Understanding for Lunar/Mars Rover

Multi-UAV Navigation in GPS Denied Environments

Safe autonomous driving through dense vegetation via interaction

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

Segmentation of Underwater Imagery

Multiple Manipulator Cooperation and Coordination

Advancing precision control in atomic force microscopy

High-speed vision controlled motion of flexible planar robotic arms

Conversational agents that can see

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.