Shepherding UxVs for Human-Swarm Teaming

Hussein A. Abbass is a Professor of information technology, University of New South Wales, Canberra, Australia. He is the Founding Editor-in-Chief of the IEEE Transactions on Artificial Intelligence. He is a fellow of the IEEE, the Australian Computer Society, the Operational Research Society, and the Australian Institute of Managers and Leaders. His main research interest is in artificial intelligence, brain computer interfaces, and human-swarm teaming.  His research aims at designing next generation-trusted artificial intelligence systems that seamlessly integrate humans and Artificial Intelligence systems. He was been the Vice President for Technical Activities for the IEEE Computational Intelligence Society from 2016 to 2019, and the National President for the Australian Society of Operations Research from 2016-2019. He has been an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE TRANSACTIONS on Cognitive and Developmental Systems, and four other journals.Robert A. Hunjet leads the Australian Defence Science and Technology (DST) Group’s Advanced Vehicle Systems science and technology capability. He holds an adjunct Associate Professorship with the School of Engineering and Information Technology, University of New South Wales, Canberra, Australia. His research interests are in the fields of autonomy of multi agent systems, swarming, mobile ad-hoc networking and distributed control. He serves on the TPC of the International Telecommunications Networking and Applications Conference, the governance panel of DST’s Trusted Autonomous Systems Strategic Research Initiative, and is co-lead of the Land Domain theme within Australia’s Defence Cooperative Research Centre for Trusted Autonomous Systems.

• Introduction.- Introduction to Shepherding.- Introduction to Human-Swarm Teaming.- Swarm Shepherding on Ground.- Swarm Shepherding in Air.- Swarm Shepherding in Air Traffic Control.- Swarm Shepherding in Sea.- Genetic Algorithms for Optimizing Swarm Shepherding.- Reinforcement Learning for Swarm Shepherding.- Learning Classifier Systems for Swarm Shepherding.- Transparent Learning for Swarm Shepherding.- Ontology-guided Learning for Swarm Shepherding.- Mission Planning for Swarm Shepherding.- Real-Time Human Performance Analysis for Human-Swarm Teaming.- Trust for Human-Swarm Teaming.- Machine Education of Smart Shepherds.- The effect of communication range limits on shepherding performance.- Controlling the controllers: the multi shepherd swarm control problem.- Conclusion.