Filter by faculty:

Found 23 matching student topics

Displaying 13–23 of 23 results

Visual memory summarisation for life-long mobile service robots operation in everyday environments

This research project aims to answer the question: How can video summarisation methods be used for efficient review and data storage of visual sensory data captured during a life-long operation of mobile service robot?Video summarisation refers to the process of generating a summary that best conveys the most informative content of a longer video.

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

Performance monitoring of deep learning models for robotic perception

This project breaks the current 'weak' assumption in the literature that the performance of deep learning models reported on a holdout dataset is an indicator of the performance on all future and yet to be encountered conditions during deployment. In reality, performance fluctuates and can drop below critical thresholds when the robot travels through particular places, times and conditions.

Study level
PhD
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Robotics

3D-printed soft robotics to simulate popliteal artery endovascular treatment

Peripheral artery disease (PAD) is one of the most frequent cardiovascular diseases, affecting over 200 million people at an annual cost of $21 billion.PAD cases are predominately (80%) located within the popliteal artery, a highly flexible vessel behind the knee joint which twists, extends, and bends during standing, walking, and sitting.As a result, active or sedentary lifestyles play an important role in altering the biomechanics leading to popliteal diseases.Furthermore, surgical treatments within the popliteal artery have been inconsistent, with a …

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

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

Wide field-of-view vision-based aircraft detection

Small to medium-sized fixed-wing unmanned aircraft vehicles (UAV) have an incredible range of potential applications in civilian operations including:disaster assessmentsearch and rescueenvironmental and infrastructure monitoringremote sensing in agricultureproduct delivery.The national airspace is heavily regulated with strict rules and safety layers that aim to mitigate the risk of mid-air collisions. The final safety layer corresponds to human pilots using their eyes and judgment to avoid potential mid-air collision threats.Sense and avoid (SAA) refers to the implied regulatory requirement that UAVs be …

Study level
PhD
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Robotics

The insufficient informativeness of measurements in Bayesian detection problems

Shiryaev's Bayesian Quickest Change Detection (QCD) problem is to detect a change in the statistical problems of an observed process. This is an important signal processing problem with application in a diverse range of areas, including:automatic controlquality controlstatisticstarget detection.Recently a critical deficiency in Shiryaev's QCD problem has been identified to occur due to the insufficient informativeness of measurement in low signal-to-noise (SNR) to overcome geometric prior assumption on the change event.These deficiencies are due to the non-ergodic nature of the …

Study level
PhD
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Robotics

Automating drone traffic management systems

Unmanned Traffic Management (UTM) describes a set of systems, services and procedures that will be developed to manage drone (unmanned aircraft systems/unmanned aerial vehicle/remotely piloted aircraft system) operations in and around our cities, including package delivery and inspection tasks and passenger transport.Essentially, UTM is a new air traffic control system for drones with high levels of automation and advanced features. We are developing powerful and scalable technologies that allow thousands of drones to operate safely in our skies. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Robotics

Photovoltaic systems in e-mobility

It's expected that solar photovoltaics will play an important role in the transformation towards electric mobility, including solar powered electric vehicle (EV) charging stations, as well as (partially or fully) solar powered vehicles.Solar panels on the surface of an EV can serve as auxiliary power supply. Lightweight vehicles (e.g. commuter solar cars, cargo bikes, etc.), have the potential to considerably add to the EV's driving range and reduce overall charging needs. However, the integration of photovoltaic (PV) systems into EVs …

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

Machine learning for wildlife monitoring

This project will investigate methods to monitor wildlife using machine learning applied to aerial imagery.While it's highly desirable to use drones and aerial footage to monitor wildlife, there are substantial challenges created by the nature of the data and target wildlife.This, combined with the vast nature of any collected aerial data, makes manual analysis difficult. This challenge motivates the development of machine learning methods to automatically process data and perform tasks, such as:detecting target animalscounting herd animalsclassifying land useassessing environment …

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

Estimation and control of networked cyberphysical systems

Cyberphysical systems (CPS) integrate sensors, communication networks, controllers, dynamic processes and actuators. CPS play an increasingly important role in modern society, in areas such as:energytransportationmanufacturinghealthcare.Due to the interplay between control systems, communications and computations, the design of CPS requires novel approaches, which bridge disciplinary boundaries.We're interested in developing engineering science and methods for the analysis and design of CPS operating in closed loop. Our research brings together elements of control systems engineering, as well as telecommunications and reinforcement learning.The current …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Robotics

Use of depth sensing technology in radiotherapy and medical imaging

Consumer-grade depth sensing technology has in recent years become widely available. A number of vendors have developed similar technologies.Some examples of these technologies include:Intel’s RealSense™Asus Xtion depth sensorQualcomm Spectra ISP platform, now in its second generation.The systems make use of camera technology that measures the distance to a surface. Rapid image acquisition can then enable real time motion detection of location of the surface. The infra-red transmitter and sensor use a time-of-flight method to construct a depth map, in millimetres, …

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

Page 2 of 2