This subproject, led by the University of Technology Sydney (UTS), focuses on understanding and managing the socio-technical complexity of cobot workplaces. The aim is to support better cobot selection and integration by analysing the interdependencies between domains such as the robot, product, operator, workspace, work process, and business goals.
Using a matrix-based approach, the project will map these relationships to uncover both direct and indirect dependencies, helping organisations adapt their environments to successfully adopt collaborative robots.
Project Activities
- Literature Review – Identify key characteristics across relevant domains and explore known interdependencies.
- Design-Led Workshops – Validate and refine domain characteristics with input from ACC members.
- Mapping Survey – Collaboratively map interdependencies between domain characteristics.
- Framework Evaluation – Apply and test the framework in real-world cobot testbeds to assess its value and usability.
Projected Outcomes
- A validated framework for assessing cobot integration readiness.
- A practical tool for identifying socio-technical dependencies in cobot workplaces.
Associated Researchers
Müge Belek Fialho Teixeira
Research Program Co-lead (Designing Socio-technical Robotic Systems program)
Queensland University of Technology
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Glenda Caldwell
Deputy Director & Associate Director (Research Training)
Queensland University of Technology
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Matthias Guertler
Research Program Co-lead (Designing Socio-technical Robotic Systems program)
University of Technology Sydney
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Alan Burden
Postdoctoral Research Fellow (Designing Socio-technical Robotic Systems program))
Queensland University of Technology
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