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Robotic Perception Lab Scholarships

Summary

Research Area:

Sensing, mapping and planning in dynamic environments.

Supervisor

Dr Viorela Ila.

Research location

Aerospace, Mechanical and Mechatronic Engineering

Synopsis

Project Description:

The projects aim to develop and deploy on real robots theoretically well-founded solutions to robot localization, mapping and planning in dynamic environments.

Depending on interest and ability, candidates will investigate one or more of:

  • Robust techniques for motion segmentation and tracking
  • Novel spatial-temporal representations of dynamic environments
  • Robust estimation and reconstruction of the dynamic scene
  • Heterogeneous sensing for dynamic environments

Research Environment:

Embedded in the Australian Centre for Field Robotics, the Robotic Perception Lab is focused on delivering fundamental methodologies to sensing, mapping and planning in real-word dynamic environments.

The ACFR offers specialised labs and facilities, robotic platforms (underwater, agriculture, electric vehicles) and robotic field labs on-campus and in nearby off-campus sites. You will have access to mechanical and electronics workshops and a pool of technical staff to help realise your research ambitions. The University of Sydney offers a rich academic setting in a world class city, and the ACFR has strong ties to a network of nearby and international academic and industrial collaborators.

Successful candidates will have:

  • A bachelor’s degree in a relevant discipline
  • Interest in robotics
  • Strong background in mathematics and programming
  • Excellent communication and interpersonal skills
  • Hands-on experience with robotic platforms, ROS, Python, C++, and/or deep learning frameworks would also be an asset
  • Creativity, curiosity, rigour and passion

How to Apply:

To apply, please email viorela.ila@sydney.edu.au, with the subject line “PhD Application:” and your name. Include the following:

  • CV and cover letter and transcripts (can be unofficial)
  • A link to a 2 minute video covering your strongest engineering, mathematical, programming skills and what you enjoy most about research. 

Want to find out more?

Opportunity ID

The opportunity ID for this research opportunity is 3478

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