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QUT Arm Farm

Study level

PhD

Master of Philosophy

Honours

Vacation research experience scheme

Faculty/Lead unit

Topic status

We're looking for students to study this topic.

Supervisors

Dr Juxi Leitner
Position
Postdoctoral Research Fellow
Division / Faculty
Science and Engineering Faculty

Overview

Deep Learning has seen significant growth and improvements in computer vision systems over the last years. Our work at the Australian Centre for Robotic Vision is looking at how robotic manipulation tasks be improved by using visual feedback. A lot of activities at the intersection at robotics, vision and learning at QUT.

Research activities

We are investigating data driven approaches to robotic grasping and manipulation. In particular, we aim to develop economic ways to collect data - use COTS robots and cheap cameras - and train this systems - reduce the amount of training data needed.

There has been some preliminary work on the QUT Arm Farm. This projects offers opportunitieas for highly motivated students to be part of a bigger goal through VRES, honors and PhD placements.

Outcomes

The aim is to build an autonmous system that can learn to interact with the world. The full system will involve engineering and research efforts, with varous subsystems being developed currently.

More information at http://Juxi.net/projects/ArmFarm/

Skills and experience

We are looking for motivated students with experience in at least two of the following:

  • Robotics (building and deploying)
  • Implementing machine meaning algorithms
  • Analysis and preparation of data (for learning systems)
  • Computers vision (running and developing object detection algorithms)
This project will involve designing, coding and maths.

Keywords

Contact

Contact the supervisor for more information.