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Project 1.2: Cobots learning by demonstration

PhD Researcher

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 PhD Researcher 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.

Associated Researchers

Mats Isaksson

Research Program Co-lead (Biomimic Cobots program) & Swinburne Node Leader
Swinburne University of Technology
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John McCormick

Chief Investigator
Swinburne University of Technology
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Fouad Sukkar

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