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Found 38 matching student topics

Displaying 13–24 of 38 results

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 understandingnavigationSimultaneous 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 and collaborations.Our …

Study level
PhD, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

GUI-based monitoring and control of a surgical robot

The Medical and Healthcare Robotics Group at QUT is currently researching on vision-guided robotic devices to assist surgeons in performing better and safer surgeries.Within our group, a number of software tools for monitoring and controlling a surgical robot are available. However an easy-to-use Graphical User Interface (GUI) is missing.Such an interface would allow surgeons and engineers to easily command predefined functions of the surgical system. Furthermore, during current trials on cadavers such a graphical interface is likely to improve both …

Study level
Honours
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

Control of a robot using inverse kinematics

The Medical and Healthcare Robotics Group at QUT is currently researching on vision-guided robotic devices to assist surgeons in performing better and safer surgeries.The tool center point (TCP) of a robot is the point in relation to which all robot positioning is defined. This point is typically placed at the robot's end-effector to specify its motion is space. For surgical operations the location of the TCP needs to be changed regularly to facilitate the robot's approach to delicate organs.In particular, …

Study level
Honours
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

Robotic education for early childhood

This project will further develop a range of robotics, coding and STEM-embedded picture books and associated learning materials for early childhood education purposes.

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

Mini-autonomous car

You will be further developing the mini-autonomous car at the QUT robotics group, to enable a range of technology demonstrations and public display options.Some of the key capabilities to add or enhance include:navigationpositioningmappingscene understandingpedestrian detectionroad sign and traffic light detectioncontrol and path planning.

Study level
Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

OpenRatSLAM

This project will develop a polished, open source codebase for the RatSLAM system which will enhance its use around the world.More information about RatSLAM (Google Code)RatSLAM publication (ResearchGate).

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

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

Building virtual environments for robots using NVIDIA simulator ISAAC

Conducting experiments using real robots can be difficult sometimes due to the restrictions on space and actions.Simulators can provide an answer to these concerns in the early stages of development. We recognise that real world testing is crucial as results in a simulator do not always reflect results in reality.ISAAC is a new robot simulator that shows promise in this space. However it currently only offers a few Unreal Engine environments.In this project, you will add more environments to this …

Study level
Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

Phantom for testing of stereotactic arrhythmic radioablation treatment delivery

The therapeutic use of radiation has been increasingly explored as a method of treatment for ventricular tachycardia and atrial fibrillation. In stereotactic arrhythmic radioablation (STAR), small beams of radiation are delivered to an intra-cardiac target volume.Cardiac and respiratory motion from the patient can throw off the accuracy of the beam. To achieve a clinically acceptable dose distribution in surrounding healthy tissue, motion management by real-time imaging may be required: either by moving the beam with the target (tracking) or suspending …

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

Scene understanding and reliable deep learning for robotics

For many practical applications of robotics and embodied AI, such as driverless cars, healthcare and domestic service robotics, scene understanding is a critical component. Modern methods rely heavily on deep learning to extract information about the scene from camera images.

Study level
Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

Robust pose estimation of objects using TensorFlow computation

Robust pose estimation of objects is needed for robotic application and human computer interfaces. Like most computer vision tasks, robust pose estimation becomes a challenging problem when the environmental conditions (like lighting and visibility) are not controlled.The approach we propose is to leverage the computational graphs that can be created in deep learning framework like TensorFlow. This approach opens up several strategies.For example, if a model of an object is available, a deep neural network can be trained to make …

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

Robotic manipulation in cluttered environments using force/torque and tactile feedback 

The objective of this project is to develop a robust controller and robotic manipulation system that can deal with cluttered and uncertain environments using haptic feedback. Reaching into cluttered and unstructured environments for robots is still a largely unsolved problem. Understanding how we can use tactile or other sensory feedback to exploit the environment to achieve tasks that are not achievable with current techniques with higher precision and faster goal times will greatly improve current manipulation techniques. The project will …

Study level
Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

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