Project based at
Lead Partner Organisation
Cobots learning digital twins
This project seeks novel solutions to the following challenges: 1) How a robot gains skills and knowledge through biomimicry digital twining with minimal human intervention; 2) How a robot can adapt to varying operational conditions of the same task; 3) How a robot can apply the same learning ability to learn different tasks as a human does. The Project will investigate the theory and algorithms for task learning that will help retain the knowledge of skilled operators during autonomous or semi-autonomous operations, and robot digital twining the human via imaging system, force/tactile sensors and data fusion.
The Australian Cobotics Centre is looking for a highly motivated PhD student to join this interdisciplinary collaborative project based at Swinburne. The PhD student will work towards a cobot learning framework and methods that allow a collaborative robot to gain skills and knowledge via biomimicry learning digital twins, sensor data fusion and deep machine learning.
Skills & experience
- Excellent communication skills
- Robotics, computer science, or mechatronics
- Strong background in mathematics
- Manufacturing or Digitalisation
- Programing in C++, Python or Matlab
- Knowledge of Robotics Operating Systems (ROS)