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Found 5 matching student topics

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Mapping the world: understanding the environment through spatio-temporal implicit representations

Accurately mapping large-scale infrastructure assets (power poles, bridges, buildings, whole suburbs and cities) is still exceptionally challenging for robots.The problem becomes even harder when we ask robots to map structures with intricate geometry or when the appearance or the structure of the environment changes over time, for example due to corrosion or construction activity.The problem difficulty is increased even more when sensor data from a range of different sensors (e.g. lidars and cameras, but also more specialised hardware such as …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Robotics

Re-localisation in natural environments

Re-localisation in robotics involves the process of determining a robot's current pose, consisting of its position and orientation. This can either be within a previously mapped and known environment (i.e. prior map) or relative to another robot in a multi-agent setup. Re-localisation is essential for enabling robots to perform tasks such as autonomous monitoring and exploration seamlessly, even when they encounter temporary challenges in precisely tracking their location in GPS-degraded environments. For instance, consider the 'wake-up' problem, where a robot …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Adaptive and efficient robot positioning

I am looking for highly motivated and talented PhD students to work with us on robot localisation and navigation. The students would join my DECRA Fellowship project "Adaptive and Efficient Robot Positioning Through Model and Task Fusion" funded by the Australian Research Council, which provides substantial top-up scholarships in addition to QUT's tax-free base stipend.Robot positioningWhere are you? This is a fundamental question to which most of us usually know the answer. And so do the birds singing in our …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Robotics

Antibiotic-loaded polymer nanoparticulate inhaled formulations against lung infections associated with COPD and CF

Lower respiratory tract infections (LRTIs) are one of the fatal diseases of the lungs that have severe impacts on public health especially the Indigenous people. The currently available antibiotics administered orally for the treatment of LRTIs need high doses with frequent administration and cause dose-related adverse effects.To overcome this problem, we will investigate the development of antibiotic-loaded polymer nanoparticles (NPs) for potential pulmonary delivery from dry powder inhaler (DPI) formulations. This study will address the release profile of the antibiotic …

Study level
PhD
Faculty
Faculty of Health
School
School of Clinical Sciences
Research centre(s)
Centre for Materials Science
Centre for Immunology and Infection Control

Semantic SLAM for robotic scene understanding, geometric-semantic representations for infrastructure monitoring and maintenance

Making a robot understand what it sees is one of the most fascinating goals in our current research. To this end, we develop novel methods for Semantic Mapping and Semantic SLAM by combining object detection with simultaneous localisation and mapping (SLAM) techniques.We work on novel approaches to SLAM that create semantically meaningful maps by combining geometric and semantic information. Such semantically enriched maps will help robots understand our complex world and will ultimately increase the range and sophistication of interactions …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

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