FUTURE DEFENCE AND SECURITY
Trusted AI-Enabled Human-Swarm Teaming
Designing effective and efficient command and control for tens to thousands of autonomous agents and the associated information domain
Research Group
Consider an eco-system made of many humans and many swarm systems , with each swarm containing tens to thousands of autonomous agents . How is an effective and efficient information domain for this eco-system designed ? What AI agents are needed to manage information flow , interactions , adaptive interfaces , dynamic allocation of functions , swarm guidance , resource allocation and decisions , machine learning with limited resources , and explainability and trust assurance for humans ?
The research group is working across conceptual , architectural , and algorithmic levels to provide problem-specific solutions while integrating the individual components in smart-system-of-smartsystems solutions .
Key capabilities
> Swarm metaverse laboratory with physical and virtual UxVs , diverse sensors , and interaction devices
Differentiators
> Integration skills that bring together machine learning , optimisation , human factors , and quantum computing
> Test and evaluation with multidisciplinary team covering algorithmic , technical cyber , and societal risks
Key customers
> Defence industry > Defence organisations in Australia and its allies
Key partnerships
> Australian DoD > USA DoD
unsw . to / hussein-abbass It offers multi-disciplinary skills in swarm guidance , cognitive engineering , multi-modal interaction , and interfaces with AI . Other skills include machine learning and optimisation algorithms , quantum AI , and robotic technologies to innovate in the humanswarm teaming command and control space .
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