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Plant part segmentation for robotic fruit harvesting using deep learning

For a robot to successfully harvest fruit it needs to understand what parts of the plant should be avoided, such as the main stem or branches of a plant.The aim of this project is to create a deep learning system for detecting and segmenting key parts of plants for use in robotic fruit harvesting. This work will look at developing a semantic segmentation deep learning system that can identify the key parts of the plant for use on a QUT-developed …

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

3D Printing a soft robotic gripper

This project aims to develop a soft robotic gripper that is suitable for harvesting delicate objects. The gripper is intended to be used on a 7DoF robotic arm for robot grasping. Advances in 3D printing materials such as flexible plastic have enabled novel designs of mechanisms such as robotic grippers to be 3D printed. Different approaches to this problem can be taken such as design soft finger mechanisms and the integration of tactile sensors.

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

Deep reinforcement learning for learning robot manipulation policies for handling occlusions in unstructured environments

This project aims to investigate novel machine learning methods for teaching robots to move their vision/camera system more intelligently for finding objects/targets in highly occluded and unstructured environments. Deep reinforcement learning is a machine learning technique which has the potential to enable robots to learn complex tasks through high dimensional input sensors such as cameras.This project will investigate using reinforcement learning techniques for learning robotic policies to intelligently move a camera on the end of a robot to see around …

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

Exploring mine waters with autonomous vehicles

Project involves the development of an autonomous vehicle that can do in-situ measurements for environmental monitoring and metal-prospecting applications.

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

OpenRatSLAM: Open source biologically inspired mapping and navigation

RatSLAM is a bio-inspired simultaneous localisation and mapping (SLAM) system.Based on continous attractor network dynamics, RatSLAM is capable of mapping by closing loops to correct odometry error.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, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

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 viewpoint change: for example in conditions of inclement weather, changing seasons or day-night cycles.Robots and autonomous vehicles must also be able to localize across viewpoint changes - for example driving down the same road but in the …

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

Augmenting robotic grasping through AR/VR setups

The improvement of robotic grasping in the last years has mainly been pushed by new learning techniques. A promising direction is learning from demonstration, where the human operator teaches a robot the tricks of the specific task. On the other hand with these learning techniques it is hard to understand the underlying reasoning.We plan on using augmented reality and virtual reality setups to teach and validate real world robotics grasping approaches.

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

Wire detection using computer vision for the application of electric wire following by drones for inspection purposes.

We are looking to develop a system that where drones can detect wires using computer vision.We expect this technology to be applied to drones that can follow electrical wires for inspection purposes.

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

Engaging older adults: a digital companion device

This project involves the study and development of an innovative digital companion platform to improve senior’s user-accessibility, maintain active ageing, promote social engagement and enhance their quality of life. The project will explore ways seniors are interacting with current technologies such as mobile applications and wearables, and their expectations and user satisfaction with technology in their everyday life activities.Our main goal is to reduce today’s fast-growing digital divide by leveraging novel technologies that are more supportive and interactive reducing tactile …

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

Pose recognition and replication by a humanoid robot

The use of body language, whether conscious or unconscious, provides an important mechanism for people to communicate information, such as intent or emotion, to people around them. In order for social robots to work alongside humans, they must therefore be capable of recognising and understanding these subtle cues, and where necessary, to replicate such cues to express their own messages.While providing robots with a complete understanding of body language is still a long way off however, through this project we …

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

Robotic Process Automation: Research Opportunities

Recently, there has been a strong interest in industry in a specific area of automation Robotic Process Automation (RPA). This term can include robotics, software agents acting as human beings in system interactions, and process automation, workflow management systems or systems that are process-aware.RPA is a relatively new technology comprising of software agents called `bots' that mimic the manual path taken by a human through a range of computer applications when performing certain tasks in a business process. The tasks …

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

Digital business models

The ongoing proliferation of a digital lifestyle and the exposure to global innovation raises the expectation level of customers for new products and services. The ongoing technological innovations make this possible, but require digital business models to turn them into viable commercial offerings. This is not only relevant for new (‘born-on-the-web’) companies, but also for traditional companies who run the risk of having their core business disrupted. While some see the technological change coming but struggle with the new business …

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

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