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Found 5 matching student topics

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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)

Forecasting disease spread risk based on human movement patterns

This project aims to forecast the risk of infectious disease spread, such as COVID-19 and dengue, based on human movement patterns. We'll use multiple data sources that describe people movement in order to understand individual and population level mobility patterns, and use empirical disease case data to model the effect of movement on the spread of disease.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Computer Science
Research centre(s)
Centre for Data Science

Trust in Internet-of-Things with blockchain

Blockchain is an unchangeable, distributed database. which provides trust in data once it is stored on the database. However, in Internet-of-Things (IoT), the data is an observation of physical context and is susceptible to noise, drift, or malicious alterations. Sensors may be even decoupled from their intended context by an attacker, which may compromise the blockchain data and its value for guiding decision.This project aims to develop an innovative approach for pervasive trust in IoT, underpinned by blockchain. The research …

Study level
PhD, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Computer Science
Research centre(s)
Centre for Data Science

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)

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