Exploring the human-machine relationship 

From driverless cars to robotic caregivers for the elderly, we live in a world where ‘smart’ systems are increasingly part of our everyday lives. Autonomous systems operate in complex and open-ended environments, using artificial intelligence (AI) to respond to feedback and unforeseen changes in the environment. These intelligent systems shift the workload from humans and let us take advantage of information technology and its ability to deliver significant benefits. There is huge potential for these systems to positively impact our society and increase our quality of life in industries like health, education and defence.  

As the application of autonomous systems becomes more widespread the emphasis on a cooperative relationship between humans and machines becomes more significant. Safety, accuracy and security are always major concerns related to the adoption of autonomous systems. For people to feel comfortable using these systems they need to be trustworthy. But what does trustworthiness mean when it comes to artificial intelligence? And how can it be designed to develop trusted autonomous systems? 

Impact

Trusted autonomy is an emerging field of research focused on understanding and designing the interaction space between entities, each of which exhibits a level of autonomy. These entities can be humans, computer-controlled machines or a mix of the two. Our aim is to integrate humans and machines seamlessly, naturally and efficiently to create a trusted and cooperative team to solve complex problems in an uncontrolled, uncertainty-rich environment. 

We have expertise in traditional machine learning, the navigation and control of autonomous vehicles, developmental robotics, computational motivation and computational red teaming. We are unique in Australia because of this mix of expertise. We have the ability to innovate concepts, taking them from ideation through to real-world applications that raise productivity, improve resources and enhance human safety. 

We've developed: 

  • more effective solutions to technological challenges including the deployment of autonomous vehicles, activities at the human-machine interface, high-fidelity military simulations and multi-robot operations in unknown and complex environments 
  • more agile and accurate decision-making cycles 
  • an accurate understanding of public acceptance and adoption rate of automation in everyday life.

Competitive advantage 

  • Unique combination of skills covering advanced topics such as robotics, AI, simulation and ethics. 
  • Long-standing and deep ties with Defence. 
  • Outstanding facilities for simulation and robotics. 
  • Focus on trusted human-autonomy teaming. 

Successful applications

  • Swarm-based machine learning with knowledge sharing. 
  • Demonstration of learning-to-fly from scratch on real unmanned aerial vehicles (UAVs) using neural networks and evolutionary fuzzy systems. 
  • Demonstration of visual flight control of UAVs for flight in cluttered areas and landing on moving platforms. 
  • Development of human performance surrogates for high-fidelity military simulations. 
  • Hierarchical deep learning algorithms for robot control. 

Research projects

  • Trusted Human-Autonomy Teaming in Teleoperations 
  • Autonomous Learning, Reasoning and Decisions-Making in Dynamic Environments 
  • Behaviours Bootstrapping for Ad Hoc, Heterogeneous Robot Swarms 
  • Compliant Musculoskeletal Actuation in Flying Insects and Bio-inspired Designs for Miniature Robots 
  • Robust flight control systems for miniature lighter-than-air robots 
  • Autonomous Precision Access (APA): Resilient flight control for trusted, robust, real-time adaptive control using Neuro-Fuzzy approaches 
  • Heterogeneous Multi Robot Test Bench 
  • User-task co-adaptation for effective interactive simulation environments. 
     

Our researchers

Head of School (Acting) Michael Barlow
Head of School (Acting)
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Senior Research Associate Shadi Abpeikar
Senior Research Associate
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Senior Lecturer   Sreenatha Anavatti
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Research Associate Essam Debie
Research Associate
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Lecturer Heba El-Fiqi
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Senior Lecturer Saber Elsayed
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Professor Matt Garratt
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Transport Lecturer  Milad Ghasrikhouzani
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Deputy Head of School (Education) Erandi Hene Kankanamge
Deputy Head of School (Education)
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Deputy Head of School (Teaching) Kathryn Kasmarik
Deputy Head of School (Teaching)
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Researcher & Practioner Tim Lynar
Researcher & Practioner
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Associate Professor
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Research Associate Phi Tran
Research Associate
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Aeronautical Engineering Program Coordinator Graham Wild
Aeronautical Engineering Program Coordinator
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