Member Login

Project

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

PhD Researcher

Danial Rizvi

Project based at

Lead Partner Organisation

InfraBuild

Data analytics and process validation of collaborative robots and automated processes

Start: August 2023
Expected end date: February 2027

Automated and collaborative robotic enabled processes naturally generate data. The validation, intentional use, and interrogation of this data can be leveraged to support quality assurance and process reliability, or to detect anomalies and ensure appropriate health and safety actions. Such data can also be used to refine the operation of a digital twin or be cross-checked against an operational twin in order to detect anomalies.

This Project will determine general and use-case specific methods for leveraging instrumented processes. General methods will promote rapid deployment to a wide range of applications and use-case specific methods will provide detailed solutions to industry traceability and reporting needs.

The role of digital twins in process validation and documentation will also be investigated.

  • The aim of the research is to apply concepts of Zero-Defect Manufacturing to solve real-world problems within the scope of Real-Time Quality Assurance, Quality Control of High-mix low-volume production and intuitive collaboration in safety settings.
  • Outcomes of this have been an ACRA publication on Haptic Devices with VR Interfaces, a published paper at MSEC 2023 on Non-Planar Additive Manufacturing and an ongoing research project with BTP on improving the safety of high-risk maintenance procedures.
  • The Project is exploring environments where these systems could have a great impact like Dubai, where we got to explore the Dubai Future Labs which is working on tackling the same problems.

Expected Outcomes

Upon completing this research, we expect to develop:

  • a framework for digital asset management on the factory floor.

Supervisory Team

Publications

First Author

Other Publications

Associated Researchers

Gavin Paul

Chief Investigator
University of Technology Sydney
View Bio

Nathalie Sick

Chief Investigator, Research Program Co-lead (Quality Assurance and Compliance)
University of Technology Sydney
View Bio

Mariadas Roshan

Postdoctoral Research Fellow, (Quality Assurance and Compliance program)
Swinburne University of Technology
View Bio

Michelle Dunn

Research Program Co-lead (Quality Assurance and Compliance)
Swinburne University of Technology
View Bio

Chris McCarthy

Chief Investigator
Swinburne University of Technology
View Bio

Lee Clemon

Associate Investigator
University of Technology Sydney / University of Illinois Urbana-Champaign
View Bio