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: https://www.australiancobotics.org/phd-expressions-of-interest/
Supervisor: Peter Corke
Visit www.australiancobotics.org for further details about the Centre and what it offers.
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)