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 488 matching student topics
Displaying 145–156 of 488 results
Reaching in clutter using force and tactile feedback
Reaching into cluttered and unstructured environments for robotic manipulation is still a largely unsolved problem. Current motion planning strategies for robots optimise for reaching while avoiding collisions within their environment. This is a fundamental problem when interacting with real-world environments as contact is inevitable. This PhD seeks to understand how we can use tactile or other sensory feedback and advanced control methods to exploit the environment for solving robotic tasks that are not achievable with current techniques. This PhD aims …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Search and retrieve with a fully autonomous aerial manipulator
The aim of this PhD is to develop an autonomous multirotor based aerial manipulator that is capable of searching an environment, visually identifying a payload, and performing a pick and-place type maneuver. Full 3D trajectories for the search stage of the flight need to be predefined, with the grasping maneuver generated dynamically once the payload is identified. The manipulator and payload interactions with the multirotor base need to be actively compensated for by the controller to ensure stable flight during …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Terrain traversability
Autonomous and non-autonomous vehicles face a wide range of challenges in identifying and safely traversing terrain across a wide range of environments from mine sites to farms to forests to deserts. We are looking for PhD students interested in developing new techniques for improving terrain traversability detection, using both "traditional" methods as well as modern deep learning-based pipelines. …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Multiple manipulator cooperation and coordination
Multiple manipulators or manipulators and mobile manipulators share a workspace and/or workpiece. How do these robots coexist safely while also completing tasks quickly?Multiple robots assembling a part in a shared workspace.Multiple robots cooperatively assemble a part in a shared workspace.Mobile manipulators and manipulators cooperatively manipulating: a mobile manipulator collects a bottle and brings it to be opened by a manipulator before delivering the bottle.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Mobile manipulation with logistics
Mobile manipulators have been proven helpful for individual manipulation tasks but slow for larger-scale logistical tasks. This project investigates how several robots (mobile manipulators and mobile robots) can cooperate to complete a task efficiently (this could be considered a travelling salesman problem with moving depots).Agriculture: The mobile manipulator picks the produce while the mobile robots transfer to produce between collection points.Clean up Australia Day 2019: Collecting rubbish from natural environments. Mobile manipulators collect rubbish and transfer it to mobile robots, …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Manipulation in nature
Grasping/manipulating in rainforest, farmland or shrubland environments pose a new challenge for existing techniques. This project will investigate how they manipulate where there may be tree branches, foliage, or other natural obstacles in the way.This project would explore existing and emerging techniques such as optimisation, neural radiance fields (NeRFs), deep learning and reinforcement learning and equipment, including depth cameras, LiDAR, event cameras, and light field cameras.Does the manipulator have to re-arrange the environment to manipulate the point of interest?Or does …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Off-road mobile manipulation
This project will investigate how mobile manipulators can operate and interact in natural environments like rainforests, grassland, shrubland, farmland, or desert ecosystems. This research project would explore how to control a continuous track or quadruped mobile manipulator in outdoor natural environments with many obstacles and constraints.Is holistic mobile manipulation possible with uneven terrain? As a mobile robot traverses rough ground, the terrain difference will cause feedback in the end-effector position.The mobile manipulator must overcome obstacle challenges, i.e. traverse around a …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
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
Robotic maintenance of equipment
Think about the problem of maintaining equipment at remote work sites. How can robotic technology help human maintenance staff to work more safely and productively?
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Outdoor litter collection
Cleanup Australia day in 2019 collected 17,000 ute loads of rubbish from rivers, parks, beaches, roadways and bushland. Imagine a robot ground vehicle or boat that could identify litter, plan the motion of the robot so that it can pick up items in the right sequence so that it doesn't have to stop, while also navigating obstacles in the environment. This is a challenging problem in perception, dynamic path planning and control.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
High-speed robotic waste separation
Sorting waste or recyclables is an important but unpleasant job, currently done by specialised machinery and humans for the hard bits. What are the core challenges that could be done by "robots that see". This is a challenging problem in perception, dynamic path planning and control.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
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
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