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Accurately mapping large-scale infrastructure assets (power poles, bridges, buildings, whole suburbs and cities) is still exceptionally challenging for robots.
The problem becomes even harder when we ask robots to map structures with intricate geometry or when the appearance or the structure of the environment changes over time, for example due to corrosion or construction activity.
The problem difficulty is increased even more when sensor data from a range of different sensors (e.g. lidars and cameras, but also more specialised hardware such as gas sensors) need to be integrated; and when the sensor data is gathered by multiple heterogeneous agents (e.g. robots, drones, or human-operated sensor platforms of different kinds).
Extracting insights and knowledge from the created maps is another ongoing challenge, especially when the requested insights are of semantic or similar high-level nature, or not even fully known at the time of creating the representation.
This PhD project lets you develop new algorithms that enable robots to better map, represent, and understand the world around them.
You can solve this problem in close collaboration with researchers from the QUT Centre for Robotics, our Industry Partner Emesent, and researchers from the University of Sydney, the Australian National University, and the Australian Robotic Inspection and Asset Management Hub (ARIAM).
ARIAM is a 5-year, $10 million research project with the University of Sydney, the QUT Centre for Robotics, the Australian National University, and over 10 industry partners. You will have the opportunity to work with researchers from the involved institutions and participate in a range of exciting professional development activities.
You will also be part of the QUT Centre for Robotics, which offers a vibrant research culture with a variety of social and professional activities, ranging from PhD boardgame nights to short courses on professional skills such as presenting, academic writing, managing your time, preparing a CV, or preparing for job interviews.
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About QUT
The QUT Centre for Robotics (QCR) conducts at-scale world-leading research in intelligent robotics; translates fundamental research into commercial and societal outcomes; is a leader in education, training and development of talent to meet growing demands for expertise in robotics and autonomous systems; and provides leadership in technological policy development and societal debate. Established in 2020, the centre has been built on the momentum of a decade’s investment in robotic research and translation at QUT which has been funded by QUT, ARC, Queensland Government, CRCs and Industry. QCR comprises over 100 researchers and engineers.
QCR researchers collaborate with industry and universities around the world, including MIT, Harvard and Oxford universities, Boeing, Thales, DST, Airservices Australia, CASA, JARUS, TRAFI, Google Deepmind, Google AI, Amazon Robotics, Caterpillar, Rheinmetall, US Air Force, and NASA’s Jet Propulsion Laboratory.
We are proud of our beautiful and big modern lab space and research environment. We have a fantastic collection of equipment to support your research, including many mobile robot platforms and robotic arms.
The centre supports a flexible working environment. We support a diverse and inclusive atmosphere and encourage applications from women, Aboriginal Australians and Torres Strait Islander people.
Scholarships: Two fully-funded positions available
We have two fully-funded ($40,000 per year tax-free) PhD positions available for this project.
Full Time
Consumer Goods
$86k-114k (estimate)
09/27/2023
06/25/2024
emesent.com
Phoenix, AZ
<25
Consumer Goods