POSTED: 27 Jul, 2023
We are currently recruiting for two PhD Scholarships funded by CSIRO’s Data61‘s Collaborative Intelligence (CINTEL) Future Science Platform.
Both scholarships are based at QUT in Brisbane and students will also be part of the Australian Cobotics Centre. They will receive a scholarship of $36,161 per annum (indexed annually) with additional funding for travel and collaboration available.
*** Interactive (and Collaborative) Robot Programming using Language ***
The first scholarship is working with our Human Robot Interaction team, supervised by Jared DonovanDonovan and Markus Rittenbruch and working with researchers from the CSIRO’s Data61 team, Dr Cécile Paris, Dr Stephen Wan and Dr Pavan Sikka.
The Project, “Interactive (and Collaborative) Robot Programming using Language” focuses on collaborative and instructional dialogue agents to help human operators program robot tasks. The PhD candidate will research and develop methods to situate a collaborative dialogue agent, focusing on the core research question of how to tackle ambiguities in instruction-to-code translation within a grounded robotics scenario. The project will lead to the development of a system – tools, algorithms and data – that allows a human operator to interactively program a robot using language.
*** Collaborative robot adoption across industries ***
The Project, “Collaborative robot adoption across industries” will examine other industries across Australia to identify to what extent they have adopted cobots. The project would identify:
- The drivers of adoption, along with barriers to it, and how any such barriers were overcome.
- To what extent have these various industries adapted their processes to accommodate cobot technology, and what was required for them to do this?
- What (re)-training was required for workers? How specific or generalisable are the required skills?
Find our more: Project 3.7: Collaborative robot adoption across industries
If you are interested in these scholarships, submit an expression of interest here:
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