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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
School
School of Management
Research centre(s)

Advanced artificial intelligence based ultrasound imaging applications

Our research in the space of advanced quantitative medical imaging is investigating how to use ultrasound as a real time volumetric mapping tool of human tissues, to guide in a reliable and accurate way complex medical procedures1. We have developed several novel methods which make use of the most cutting-edge artificial intelligence technology2. For example, to show where the treatment target and the organs at risk are at all times during treatments in radiation therapy3, 4; or to inform robots …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Clinical Sciences
Research centre(s)
Centre for Biomedical Technologies

Augmented reality (AR) applications for robotic scene understanding

Augmented reality (AR), or mixed reality, has become a mature technology with many possible practical applications in manufacturing, retail, navigation and entertainment.We're interested in using AR to support human-robot interaction. In this project, you'll investigate how a human can use AR to better understand how a robot perceives the world and to understand the robot's intentions.

Study level
Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Electrical Engineering and Robotics
Research centre(s)

Perception-to-action for collision avoidance using robotic boats

Robotic maritime systems are already transforming operations such as research, freight and surveillance. However, much like driving cars on our roads, there are rules around driving maritime systems (boats) on waterways regarding where you can drive and how to avoid and behave in potential collision situations.Implementing these rules on robotic systems is an unsolved problem. This gap provides an exciting research opportunity requiring real-time autonomous perception and actions to maintain safe operations.In this project, you'll explore and develop state-of-the-art solutions …

Study level
PhD, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Electrical Engineering and Robotics
Research centre(s)

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 understandingvisual place recognitionnavigationSimultaneous 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 …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Electrical Engineering and Robotics
Research centre(s)

Surgery robot

Significant advances have been made in surgical assistance robots, but significant challenges remain.This project will develop new systems for surgical assistance robots, including the potential for advanced surgical localization and positioning systems.This project is part of a major Australian Research Council Industrial Transformation Training Centre for Joint Biomechanics.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Electrical Engineering and Robotics
Research centre(s)

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 viewpoints change: for example in conditions of inclement weather, changing seasons or day-night cycles.Robots and autonomous vehicles must also be able to localise across viewpoint changes: for example driving down the same road but in the opposite …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Electrical Engineering and Robotics
Research centre(s)

Lifelong semantic mapping of large scale environments

When building a map of objects inside a real environment, this map can become quickly outdated as objects are moved around over time. This is especially true when the map is on the scale of a house, warehouse or a city.This PhD project investigates new methods for keeping a high-resolution semantic map up-to-date using partial, and possibly low-resolution, snapshots. These environment snapshots can be captured by sensors mounted on moving agents, such as vehicles and mobile robots. …

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

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
School
School of Electrical Engineering and Robotics
Research centre(s)

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
School
School of Electrical Engineering and Robotics
Research centre(s)

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 struggle with the new business models (e.g. Kodak), others turn it into …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)
Centre for Data Science

The Challenge of Neural Interfaces to Law

Dr Scott Kiel-Chisholm is looking for PhD/MPhil candidates considering the legal dimensions from the development and adoption of neural interfaces. We are interested in looking for candidates looking at civil and criminal implications, comparative legal analysis and the legal and quasi-legal implications of neural interfaces for supra-legal institutions like the WTO and the EU. This topic is led by the QUT School of Law within the Datafication and Automation of Human Life research group. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Law
School
School of Law
Research centre(s)

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