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SWARM: Characterisation, Diagnosis and Assurance of Health and Quality of Sensor Formations

The Characterisation, Diagnosis and Assurance of Health and Quality of Sensor Formations project, known by its nickname SWARM, is using a set of scientific tools to develop more reliable formations and sensor networks for applications such as defence, fighting bushfires and surveillance.

One of the priority areas of military and defence interest the project is focusing on is the use of unmanned vehicles to execute missions. The techniques developed in this project will be essential in making the autonomous formations and sensor networks used in these missions reliable.

The SWARM consists of three sub-projects:

1. Autonomous Formation Architecture & Control Formation
2. Cooperative Target localisation TargetLoc
3. Sensor Network Localization SensorLoc

 

 

About SWARM


Key Research Team

  • Prof. Brian Anderson, NICTA Canberra & Australian National University
  • Dr. Baris Fidan, NICTA Canberra & Australian National University
  • Dr. Guoqiang Mao, NICTA ATP & The University of Sydney
  • Dr. Brad (Changbin) Yu, NICTA Canberra & Australian National University
  • Iman Shames, NICTA Canberra & Australian National University
  • Jason (Xiaoyuan) Ta, NICTA ATP & The University of Sydney
  • Tyler Summers, University of Texas at Austin
  • Anushiya Kannan, NICTA ATP & The University of Sydney
  • Eric (Xiolei) Hou, Australian National University

 
External Partner

  • Key DSTO Collaborators:
    • Dr. Sam Drake
    • Dr. Hatem Hmam


Participants

 

Others Involved and International Collaboration

Key Research Outcomes and Progress Report

Key Research Outputs

Formations and Sensor Networks Publications