Australian Cobotics Centre PhD Scholarship – Cobot contact tasks through multi-sensory deep learning

Project Details

This project will take a new approach that detects and diagnoses the dynamical process through deep learning fusion of multi-sensory data, including force/tactile, visual, thermal, sound, and acoustic emission; and generate corrective process parameters in achieving the goals of a contact task. The Project will investigate and develop new theories and methods for machine and process modeling, and model-based robot contact control with intrinsic safety in time-and space-variant processes

The Australian Cobotics Centre is looking for a highly motivated PhD student to join this interdisciplinary collaborative project based at QUT on an annual scholarship of $34,013 (indexed each year). The PhD student will work on new theory and methods for multi-sensory deep learning and model-based robot contact control in time-and space-variant processes. Submit an Expression of Interest via this link:

Supervisor: Peter Corke

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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)