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Project

Project 1.1: Cobot contact tasks through multi-sensory deep learning

Principal Supervisor

Project based at

QUT

Lead Partner Organisation

Weld Australia

Cobot contact tasks through multi-sensory deep learning

We are looking for a PhD candidate to research the following problem: how to control a mobile manipulator so that it can perform contact tasks such as grinding, polishing or welding on a much larger object that has been placed arbitrarily on the floor of a factory. The research challenges include localization with respect to the object, navigation, perception, control of the contact task, and human interface and planning (perhaps using LLM technology).  The project will be supervised by Professor Peter Corke.

Skills and Experience

Desired Background

  • Excellent communication skills
  • Robotics, computer science, or mechatronics background
  • Strong background in mathematics

Desired Skills

  • Programing in C++, Python or Matlab
  • Knowledge of Robotics Operating Systems (ROS)

Associated Researchers

Jonathan Roberts

Centre Director
Queensland University of Technology
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Will Browne

Chief Investigator
Queensland University of Technology
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Mats Isaksson

Research Program Co-lead (Biomimic Cobots program)
Swinburne University of Technology
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Teresa Vidal-Calleja

Research Program Co-lead (Biomimic Cobots program)
University of Technology Sydney
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Fouad Sukkar

Postdoctoral Research Fellow (Biomimic Cobots Program)
University of Technology Sydney
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