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Quality Assurance and Compliance

This program is led by Swinburne University of Technology (SUT) with four projects that are based at both SUT and University of Technology Sydney.

Program Co-Leads

Program Postdoctoral Research Fellow

  • TBC (Swinburne)

The use of cobotics in the workplace and the relationships between the human and robot in a team scenario create challenges in terms of how the compliance requirements of heavily regulated industries (e.g. medical devices, defence and aviation) are met. However, the addition of cobotics to the workspace is an opportunity to offload the compliance and quality assurance burden from the human to the robot.

The program will focus on:

  • How to monitor emergent behaviours in the human-robot team scenario and ensure these emergent behaviours continue to meet compliance requirements
  • How robots can self-monitor their behaviours and self-inspect task outcomes
  • How the quality of multi-sensor data can be used to deliver the above
  • How interpretation of this data can be used to evaluate compliance conditions

This Program will develop tools for the specification, capturing, monitoring and evaluation of human-robot and robot-human collaboration scenarios. This work is synergistic with other Programs and will develop skills and capacity within industry.

Two potential PhD projects that fall within this space are:

  • Emergent behaviour in human-robot team scenarios – as humans adapt and familiarise with their cobot teammates, emergent work patterns and  behaviours are likely to evolve and be subject to change. Similarly, augmentations to the co-bots workflow patterns may emerge from AI-driven adaptations to the human operator’s own changing patterns and behaviours, or simply due to upgrades to the system, or changes to the underlying working conditions.  This presents the challenge of both balancing the need to maintain and monitor potentially stringent compliance requirements, while also allowing sufficient scope for the human-robot collaboration to adapt to the needs of the task, and to establish efficient collaborative workflows, This project will explore strategies to account for such needs and keep process outputs within the bounds of compliance.
  • Cobot self-inspection – cobots are equipped with multiple sensors that allow them to interact with humans in the workplace. These sensors can equally be utilised by the cobot to develop a “sense” of its environment and to self-monitor the task outcomes it produces. This project will develop methods by which the cobot can evaluate the task outcome in real-time, based on how it perceives the motions and actions involved in the execution of the task in much the same way that a skilled craftsperson knows by experience that they have produced a good product.



Learn more about the researchers participating in this program.

Sally McArthur

Deakin University
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Lee Clemon

Research Program Co-lead (Quality Assurance and Compliance program)
University of Technology Sydney
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Jochen Deuse

Associate Director (Industry Engagement)
University of Technology Sydney
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Robert Fitch

Chief Investigator
University of Technology Sydney
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Matthias Guertler

Research Program Co-lead (Designing Socio-technical Robotic Systems program)
University of Technology Sydney
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Teresa Vidal-Calleja

Research Program Co-lead (Biomimic Cobots program)
University of Technology Sydney
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Learn more about the research projects that are part of this program.

Project 4.1: Development and Specification of Collaborative Robotic Process Automation Lifecycle

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Project 4.2: Digital Twins for the development, optimisation and process specification of human robot collaboration scenarios

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Project 4.3: Monitoring and automated documentation of outcomes of collaborative robot activity

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Project 4.4: Data analytics and process validation of collaborative robots and automated processes

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