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Found 62 matching student topics

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Advanced vascular models for surgical education, training and diagnosis

Vascular surgery is Australia’s second-most expensive surgical program, primarily due to an aging population with increased incidence of cardiovascular disease, representing 29% of all deaths in 2017.Surgical decision-making regarding whether, when and how to operate on a patient relies on the clinicians’ analysis of 2D and 3D reconstructed images on a computer screen in either the endovascular suite or the operating room.Further, endovascular surgeries require skillful and rapid deployment of vascular prosthetics through tortuous, patient-specific geometries to safety, effectively and …

Study level
Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Chemistry, Physics and Mechanical Engineering

Social robot interaction and interactivity through enhanced verbal/non-verbal communication

Social robots require excellent communication and interaction skills to be able to operate effectively in dynamic social environments. This includes the ability to capture, understand and respond to complex social content given by humans, such as verbal (e.g. semantics, pauses) and non-verbal (e.g. visual cues, body language) information. Therefore, social robots must be able to adjust to individuals on a case by case basis, as well as being able to identify and provide appropriate responses.The aim of this project is …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Digital business models

The ongoing proliferation of a digital lifestyle and the exposure to global innovation raises the expectation level of customers for new products and services. The ongoing technological innovations make this possible, but require digital business models to turn them into viable commercial offerings. This is not only relevant for new (‘born-on-the-web’) companies, but also for traditional companies who run the risk of having their core business disrupted. While some see the technological change coming but struggle with the new business …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

HR and Robotics

The 2018 Robotics Roadmap for Australia suggests a range of ways that robotics may affect the business world.  In particular, humans may need to work alongside robots or their efforts may be augmented by robots.  For this project the focus is on the HR implications of the various ways humans and robots may interact in the workplace.

Study level
Vacation research experience scheme
Faculty
QUT Business School
Lead unit
School of Management

Robots and Digital Agents in Health and Wellbeing Settings

Increasingly digital agents and robots are playing a role in our health care system. Key questions remain about how people respond to non-human entities in health settings. This program of research aims to explore a range of issues in this space:When do people treat agents and robots as though they are human?Which topics are people comfortable disclosing to digital agents and robots?What features of digital agents and robots make them feel more trustworthy, friendly, believable, etc? …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Earth, Environmental and Biological Sciences

Neuroscience-based algorithms for robotics and autonomous vehicles

Increasingly researchers are looking to neuroscience and the brain for inspiration in how they design their deep learning network architectures for robotics and artificial intelligence tasks.This project will design innovative new neural network-based learning approaches to make breakthroughs in robotic and autonomous vehicle capabilities in:sensingscene understandingnavigationSimultaneous Localisation And Mapping (SLAM)other key capabilities.In doing so you will gain invaluable experience and skills in one of the most exciting fields in the world today, along with opportunities for international travel and collaborations.Our …

Study level
PhD, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Visual place recognition for robots and autonomous vehicles

Knowing where you are is a fundamental capability for robots and autonomous vehicles moving through an environment.Increasingly technologies in this area are based around camera sensors, performing a process known as Visual Place Recognition (VPR).VPR becomes challenging in the real-world when conditions or viewpoint change: for example in conditions of inclement weather, changing seasons or day-night cycles.Robots and autonomous vehicles must also be able to localize across viewpoint changes - for example driving down the same road but in the …

Study level
PhD, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Wire detection using computer vision for the application of electric wire following by drones for inspection purposes.

We are looking to develop a system that where drones can detect wires using computer vision.We expect this technology to be applied to drones that can follow electrical wires for inspection purposes.

Study level
Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

OpenRatSLAM: Open source biologically inspired mapping and navigation

RatSLAM is a bio-inspired simultaneous localisation and mapping (SLAM) system.Based on continous attractor network dynamics, RatSLAM is capable of mapping by closing loops to correct odometry error.This project will develop a polished, open source codebase for the RatSLAM system which will enhance its use around the world.More information about RatSLAM (Google Code)RatSLAM publication (ResearchGate). …

Study level
PhD, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Robust pose estimation of objects using TensorFlow computation

Robust pose estimation of objects is needed for robotic application and human computer interfaces. Like most computer vision tasks, robust pose estimation becomes a challenging problem when the environmental conditions (like lighting and visibility) are not controlled.The approach we propose is to leverage the computational graphs that can be created in deep learning framework like TensorFlow. This approach opens up several strategies.For example, if a model of an object is available, a deep neural network can be trained to make …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Engaging older adults: a digital companion device

This project involves the study and development of an innovative digital companion platform to improve senior’s user-accessibility, maintain active ageing, promote social engagement and enhance their quality of life. The project will explore ways seniors are interacting with current technologies such as mobile applications and wearables, and their expectations and user satisfaction with technology in their everyday life activities.Our main goal is to reduce today’s fast-growing digital divide by leveraging novel technologies that are more supportive and interactive reducing tactile …

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Exploring mine waters with autonomous vehicles

Project involves the development of an autonomous vehicle that can do in-situ measurements for environmental monitoring and metal-prospecting applications.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Chemistry, Physics and Mechanical Engineering

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