QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.
Found 12 matching student topics
Displaying 1–12 of 12 results
Designing Robotic Intention Visualisation
This project is part of the Human Robot Interaction program in the Australian Cobotics Centre, an ARC Training Centre for Collaborative Robotics in Advanced Manufacturing.People effectively coordinate (co-located) teamwork through various social approaches that make team members aware of what they are doing or intend to do. Collaborative robots (cobots) are being introduced to the workplace to enable tight integration of human and robotic work activities, such as assisting human workers with repetitive or strenuous physical tasks. But robots may …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
Acceptance and adoption of ambient assistive technologies
Vision-based technologies offer new possibilities to assist individuals with cognitive disabilities to live independently. Ambient assistive technologies, such as smart mirrors and social robots, enable new ways to interact at home with AI technologies that can see.How can we ensure the social acceptance and support the adoption of ambient assistive technologies?Technologies that support independent living are about much more than fulfilling a particular task. They alter how people perceive themselves and how they engage with others. Students in this project …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Respectful ambient interactions with vision-based assistive technology
Vision-based technologies offer new possibilities to assist individuals with cognitive disabilities to live independently. Ambient assistive technologies, such as smart mirrors and social robots, enable new ways to interact at home with AI technologies that can see.How can we design respectful ambient interactions that balance assistance and privacy?Students in this project will develop a method and theory of interactive intent for people with cognitive disabilities. The theory will be established through an exploration of the new types of interactions made …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Co-designing ambient assistive technologies
Vision-based technologies offer new possibilities to assist individuals with cognitive disabilities to live independently. Ambient assistive technologies, such as smart mirrors and social robots, enable new ways to interact at home with AI technologies that can see.How can we engage people of all abilities in co-designing ambient assistive technologies?Participation in design is often defined on a spectrum where stakeholders can be categorised as simple informants (surveyed at the start of a project), evaluators (involved in trial iterations of a design), …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Human robotic interaction prototyping toolkit
Design relies on prototyping methods to help envisage future design concepts and elicit feedback from potential users. A key challenge the design of human-robot interaction (HRI) with collaborative robots is the current lack of prototyping tools, techniques, and materials. Without good prototyping tools, it is difficult to move beyond existing solutions and develop new ways of interacting with robots that make them more accessible and easier for people to use.This project will develop a robot collaboration prototyping toolkit that combines …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Robotic intention visualisation
Complex manufacturing environments characterised by high value and high product mix manufacturing processes pose challenges to Human-Robot Collaboration (HRC). Allowing people to see what robots are ‘thinking’ will allow workers to efficiently collaborate with co-located robotic partners. A tighter integration of work routines requires improved approaches to support awareness in human-robotic co-working spaces. There is a need for solutions that also let people see what the robot is intending to do so that they can also efficiently adjust their actions …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Cobot contact tasks through multi-sensory deep learning
Contact tasks like grinding, polishing and assembly require a robot to physically interact with both rigid and flexible objects. Current methods relying on force control have difficulty achieving consistent finishing results and lack robustness in dealing with non-linear dynamics inherent in how the material is handled. This project will take a new approach that detects and diagnoses the dynamical process through deep learning fusion of multi-sensory data, including force/tactile, visual, thermal, sound, and acoustic emission; and generate corrective process parameters …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Interactive (and collaborative) robot programming using language (Project 2.5 - Joint CSIRO/ACC)
Programming robots to carry out desired tasks is difficult and time-consuming. This PhD project focuses on collaborative and instructional dialogue agents to help human operators program robot tasks.In this collaborative scenario, a human operator converses with an AI agent to explain the steps that are to be performed, using high-level references and abstractions that make sense to the human, as opposed to simple verbal instructions corresponding to rudimentary robot movements. The AI agent must interpret the high-level instructions and translate …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Advancing humanoid robots: exploring materials and design for enhanced aesthetics and emotional connection
Humanoid robots are increasingly being developed for a variety of applications including healthcare, customer service, and industrial automation. However, their effectiveness depends not only on their artificial intelligence, technical capabilities, functionality and efficiency but also on the design and application of exterior materials for enhanced interaction with humans. This research aims to investigate how the application of colour, materials, and form (CMF) and other concepts of wearable fashion and innovative design can improve the aesthetics, perception, emotional connection and overall …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- QUT Design Lab
Design Lab
A sense of touch for robots
Touch, or awareness of contact, is one of the key challenges in robotics, particularly in the soft and highly deformable environment of the human body. This project will explore the development and use of interferometric filters to quantify contact pressures through spectral changes in reflected light. Thus a quantitative 'image' of force may be created to both characterise and guide robot-tissue interactions.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Very high-speed dynamic motion planning for arm robots
Robot manipulator arms are increasingly used for logistics applications. These typically require robots to run at the limits of their performance: motor torque and motor velocity. Added challenges include significant payloads (if we are schlepping heavy parcels) with apriori unknown mass, the possibility of boxes detaching from the gripper under high acceleration, and fixed obstacles in the workspace. How can we determine the limits to performance, quickly identify the payload mass, then plan the fastest path to get from A to B.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Robust feature selection and correspondence for visual control of robots
Stable correspondence-free image-based visual servoing is a challenging and important problem.In classical image-based visual controllers, explicit feature correspondence (matching) to some desired arrangement (configuration) is required before a control input is obtained. Instead, this project will investigate variable feature correspondence and robust feature selection to simultaneously solve visual servoing problem, removing any feature tracking requirement or additional image processing.Also involving Prof Jason Ford.Example of recent past work
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
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