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

Monte Carlo modelling in radiotherapy

Various research projects are available in the use of monte-carlo techniques in radiotherapy and medical imaging. These include:modelling radiotherapy linear acceleratorspatient dosimetric verification andin-vivo treatment verificationradiobiology and micro-dosimetry.Some of the widely available monte-carlo codes are used in our research group including TOPAS, EGSnrc, and PRIMO.

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

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
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)

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)

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)

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)

Protocols for fast battery charging

The development of safe and reliable fast charging protocols for electric vehicles is an important area of research. Necessary power electronic converters and control mechanisms need to be developed so that battery packs experience minimal degradation during fast charging.

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

Soft and self-powered robotic skin

The sense of touch is one of the most important ways to:discover the environmentdifferentiate soft and hard surfacesoperate delicate objects.Our research group has successfully fabricated a new class of soft tactile sensors that combines the electroluminescence and photo-sensing modes of multifunctional diodes with a flexible elastomer capable of creating intelligent skin. Using this approach, we now aim to integrate this technology with modern medical, social and industrial robots.In this project you'll investigate the development of a flexible and stretchable smart …

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

3D printing a soft robotic gripper

This research is focused on robotic grasping and agricultural robotics.

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

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