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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

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.

Learn more about the researchers participating in this program.

Michelle Dunn

Research Program Co-lead (Quality Assurance and Compliance)
Swinburne University of Technology
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Lee Clemon

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

Postdoctoral Research Fellow
Swinburne University of Technology
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Idhant Bhambri

PhD Researcher
Swinburne University of Technology
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Chris McCarthy

Chief Investigator
Swinburne University of Technology
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Mats Isaksson

Research Program Co-lead (Biomimic Cobots program)
Swinburne University of Technology
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Ruba Al-zqebah

Associate PhD Researcher
University of Technology Sydney
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Learn more about the research projects that are part of this program.

Project 4.1: The skilled craftsperson – cobotic self-inspection during task completion

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Project 4.2: Preserving compliance during emergent behaviour in human-robot team 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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Productivity improvements in dynamic production system using discrete event simulation and heuristic methods

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