Future Autonomous Systems & Technologies (FAST)

The Future Autonomous Systems and Technologies (FAST) Program is a collaboration between the School of Mechanical and Mining Engineering and Sustainable Minerals Institute (SMI).

The FAST research is focused on developing trusted autonomous systems and technologies for people to work effectively in the mining business process, supporting the industry’s transition from mechanised to autonomous and digitised operations. The focus of this program is on designing, developing and deploying autonomous systems and technologies that are trusted and bring tangible economic and social benefits.

Our team

Associate Professor Mohsen Yahyaei leads the program. The program leverages the domain experts in SMI centres and the broader University of Queensland (UQ) faculties and schools to develop and deliver on research projects. The team of researchers and academics currently working on projects for this program are knowledge leaders on various aspects of trusted autonomy with a mixed academic and industrial background.

Program Leader

Associate Professor Mohsen Yahyaei

Group Leader - Advanced Process Prediction and Control
Program Leader
Future Autonomous Systems & Technologies (FAST), Sustainable Minerals Institute

Research focus areas

FAST research covers:

  • Elements of trust in autonomous systems from people, process and system perspectives
  • The process of change management for the implementation of autonomous systems and technologies
  • Role of automation on stability and precision in processing and its impact on risks associated with the mining
  • The workforce of the future for autonomous systems and technologies
  • Synergies between mining and other industries for scaling up the outcomes