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Our goal is to create autonomous robotic systems that can operate in complex real-world environments like humans. Our projects span robotic vision, sustainable agriculture, lifelong autonomy, neuroscience and robotics, applied to flying, ground and underwater robotics.
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Undergrad Student Project List for 2017 |
ARC Centre of Excellence for Robotic Vision
A 7 year $25.6M project to develop the underlying science and technologies that will enable robots to see and understand their environment using the sense of vision.
Projects
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Agricultural Robotics Program at QUTA 3 year $3M agricultural robotics program and a 3 year $0.5M ARC Linkage project developing robotic solutions for sustainable agriculture. | ||
![]() | Robot NavigationOverarching research into long-term robust robot navigation with projects including RatSLAM , Persistent Robotic Navigation , and brain-based navigation. | |
![]() | Robotic ManipulationResearch into creating robots that see and learn so they can do things in the real world, such as pick (up) objects in a variety of unstructured environments. Including the following robotic systems: Amazon Picking Challenge, Harvey the robotic capsicum harvester. | |
Marine RoboticsUnderwater and surface robots, including RobotX, our QUT undergraduate team competing in the 2014 Maritime RobotX Challenge | ||
![]() | Flying robotsVision guided flight and the Open Source Palm Sized Quadrotor |
See the projects page for all projects.
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Senior Researchers
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Director - Centre of Excellence in Robotic Vision _________ | ||
![]() | Leader - Strategic Interment in Farm Robotics (SIFR) Program | |
Professor in Robotics |
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More Robotics@QUT People
Information
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Seminar SchedulePhD ProjectsUndergraduate Projects and TeachingPublicationsJobs |
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Open Datasets and SoftwareVisits to Robotics @ QUTReading GroupNewsPeople at QUT |
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About Us
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Interested in joining us? Check out our Jobs page. |
Research areasOur areas of research interest include:
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Where can you find us?
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Latest Research
Team ACRV wins Amazon Robotics Challenge 2017 (Manipulation)
The team consisting of QUT, Adelaide and ANU students and researchers, wins the 2017 Amazon Robotics Challenge with the in-house developed #Cartman (cartesian manipulator) robot!
Crown-Of-Thorns Starfish Robot on ABC Catalyst (COTSBot)
Widget Connector width 315 url https://www.youtube.com/watch?v=-tG60zUFW-A&t=3m42s
Crown-Of-Thorns Starfish (Acanthaster planci) are described as one of the most significant threats to the Great Barrier Reef. The intention of COTSbot is to provide a proof-of-concept robotic system to directly facilitate COTS reduction.
ACRV Team comes 6th in the Amazon Picking challenge (Manipulation)
Widget Connector width 315 url https://www.youtube.com/watch?v=JJQL-aeAs0U&list=PLOqMcGR_zUyH4IaYurBhB5D02TurBQOQW
The ACRV team placed 6th in the Amazon Picking Challenge out of the 16 qualified teams. After a sobering first run the team collected 42 points during the picking task on the second day, placing 6th overall and 2nd in the unofficial ranking of all the teams using a Baxter robot (7).