Projects

The cornerstone of the QUT Centre for Robotics is that we are able to solve problems in a broad sphere of applications. Our research interests are diverse, and we are continually in discussion with industry and government about how we can address their most pressing current and future challenges. Contact our team to discuss how we can collaborate with you.

 
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Contextual Hazard Detection

Automated Early-Detection of the Invasive Grass African Lovegrass

Visual Place Recognition for Robotics in Extreme Environments

AUSMURI: Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots

Rheinmetall Defence Australia: Advanced Terrain Detection (ATD)

[COMPLETED] How automated vehicles will interact with road infrastructure

Automation-enabling positioning for underground mining

[COMPLETED] ARC Future Fellowship: Superhuman place recognition

US AFOSR / AOARD: An infinitely scalable learning and recognition network

Australian Research Council Industrial Transformation Training Centre for Joint Biomechanics

Mini Autonomous Vehicles

AgBot II

NeuroSLAM

AOS: Kelpie

LunaRoo - A hopping Lunar science platform

Semi-automated power pole inspection

COTSbot eliminating invasive reef species

Inference boats

RangerBot

Robotic knee arthroscopy

Cameras and sensors

Continuum robots

Effect of lighting on visual odometry performance in underground mines

Robotic Manipulation for Automated Maintenance

Semantic Mapping for Robotic Maintenance

A baseline dataset for performance evaluation of visual detection and classification techniques in mining environments

Deep Learning for Grasping and Manipulation

ACRV Picking Benchmark

Amazon Picking Challenge (2016)

Amazon Picking Challenge (2017)

Reliability in Deep Machine Learning and Uncertainty for Object Detection

Scene Understanding and Semantic SLAM

Reinforcement Learning for Robot Navigation and Interaction

Learning Robotic Navigation and Interaction from Object-based Semantic Maps

UAVs/ Drones for Agriculture and Plant Biosecurity

Use of UAS and Hyperspectral Remote Sensing for Early detection of Phylloxera Infestation in Vineyards

Autonomous Robotic Platforms for Greenhouses

Robotic Vertical Farming Systems

Harvey – The Robotic Capsicum Harvester

Moving to See

[COMPLETED] HD maps for automated driving

Aerospace Autonomy

Surface Crack Detection and Localisation for Automated Underground Mine Void Characterisation

Navigating Under the Forest Canopy and in the Urban Jungle

Unmanned Aerial Vehicles (UAVs) and artificial intelligence revolutionizing wildlife monitoring and conservation

Developing pest risk models of Buffel Grass using Unmanned Aerial Systems and Statistical methods

Detection and mapping of exotic weeds using UAS and machine learning: Bitou Bush Case Study

Aerial Mapping of Forests Affected by Pathogens using UAVs, Hyperspectral Sensors and Artificial Intelligence: Myrtle Rust

Assessing the capabilities of digital imaging and Unmanned Aerial Systems (UAS) for species management

UAVs, Hyperspectral Remote Sensing and Machine learning Revolutionizing Reef Monitoring

When every second counts: Multi-drone navigation in GPS-denied environments

UAVs with slung/swung loads

Aerial Manipulation for Remote Sensing Applications

Multiple Target Finding and Action Using Unmanned Aerial Systems

Monitor of pollutants adjacent to a motorway using Unmanned Aerial Vehicles

Establishing advanced networks for air quality sensing and analysis

Development and validation of a UAV based system for air pollution measurements

UAV Navigation using semantic cues

Autonomous UAV decision making under environment and target detection uncertainty

Multi-UAV Navigation in GPS-Denied Environments under Location and Environmental Uncertainty

Autonomous Mission Planning, Navigation and Geological Feature Recognition using UAVs (Drones)

Antarctic Science for a Sustainable Future

Novel autonomous robotic weed control to maximise agricultural productivity

Spike-based Visual Place Recognition using Intel’s Loihi

NVIDIA Applied Research Accelerator Program

Complementarity-Aware Multi-Process Fusion for Long Term Localization

Contextually Informed Joint Perception and Localization for Autonomous Vehicles

Re-Evolving Nature’s Best Positioning Systems for People and Their Machines

Unmanned Traffic Management (UTM)

Space station robotics

Network-Informed Control – Control-Informed network

Australian Robotic Inspection and Asset Management Hub

Training Centre for Collaborative Robotics in Advanced Manufacturing

Active, adaptive & predictive robot localization

Re-Evolving Nature’s Best Positioning Systems for People and Their Machines: Australian Research Council Laureate Fellowship 2022-2027

Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots: AUSMURI project

Increasing resilience of robotic systems through quickest change detection technology

UAV Navigation in GPS Denied Environments

Robot Learning for Everyday Tasks with Large Language Models, Imitation Learning and NeRFs

Very high-speed dynamic motion planning for arm robots

High-speed vision controlled motion of flexible planar robotic arms

High-speed robotic waste separation

Outdoor litter collection

Robotic maintenance of equipment

Cobot contact tasks through multi-sensory deep learning

Off-road Mobile Manipulation

Manipulation in Nature

Mobile Manipulation with Logistics

Submarine Manipulation

Multi-UAV Navigation in GPS Denied Environments

Automating drone traffic management systems

Robust Feature Selection and Correspondence for Visual Control of Robots

Coordinated control of multi-robot systems for dynamic task execution

Model predictive control of connected vehicle platoons

Towards Resilient Cyberphysical Systems

Estimation and control of networked cyberphysical systems

Drone Ship Landing under Adverse Sea Condition

Continual Learning System

Geometric-Semantic Representations for Infrastructure Monitoring and Maintenance

Deep Learning for Robotics in Open-World Conditions: Uncertainty, Continuous Learning, Active Learning

Semantic based onboard UAV navigation

Safe autonomous driving through dense vegetation via advanced perception

Space Robotics: Scene Understanding for Lunar/Mars Rover

Implicit representations for place recognition and robot localisation

Place-informed Robotics and Autonomous Vehicles

Out of Line: Sequence Processing and Learning for Localization

Mining Robotics

Space Robotics: Resilient Perception (& Localisation) for Lunar/Mars Rovers

See 3D: Bridging the Appearance-Geometry gap for 6-DoF, cm-precise visual localization

Neuromorphic sensors and engineering for place recognition

Event-based localisation for ultra-fast systems

Continously updating place descriptors

Cut Deep: Cutting the Deep network layers for Efficient Representation Learning

Abstraction Reasoning for Mobile Robotics

“Dark“ Visual odometry for drone Navigation

Robust perception in dusty environments for autonomous drones

Real-time semantic perception for autonomous field robotics

Multiple Manipulator Cooperation and Coordination

Tactile Sensing

Deformable/Compliant Object Manipulation with Tactile Sensing

Terrain Traversability

Search and Retrieve with a Fully Autonomous Aerial Manipulator

Reaching in Clutter using Force and Tactile Feedback

Moving to See

Perception-to-action for collision avoidance using robotic boats

Safe autonomous driving through dense vegetation via interaction

Neuro-symbolic learning via robotic exploration

Learning about objects by looking and manipulating

Learning about environments through physical interaction

Adversity‐ and Adversary‐Robust Adaptive Positioning Systems with Integrity

Tactile-based Robotic Manipulation

Neuromorphic computing

Conversational agents that can see

UAV Remote Sensing and AI for Environmental Monitoring in Antarctica and in Polar Regions

A soft robotic manipulator for spinal surgery

Yandiwanba QUT's Lunar Testbed and Space Lab

From Chat to Chores: The Future of LLM-Powered Service Robots

Advancing Space Exploration Through Formation Flight of CubeSats

Enhancing CubeSat Collision Avoidance Approaches

Adaptive and Efficient Robot Positioning

Segmentation of Underwater Imagery

Social Robots for Inclusion

Robotic Blended Sonification

Advancing precision control in atomic force microscopy