Webinar Recordings
Discover CADR-RAS webinar recordings presenting insightful discussions and project findings by leading RAS researchers.
Delve into the exploration of robotics and autonomous systems advancements as these experts share their invaluable insights.
Adversity - and adversary - Robust Adaptive Positioning Systems with integrity
Recorded: 15 April 2025
Robust coordinated autonomy through Dec-MCTS with communicated behavioural intent
Recorded: 4 March 2025
Dynamic coverage control for multi-agent UAS to support the sensing, tracking and prediction of a contamination plume
Recorded: 28 November 2024
Localising Swarms of Autonomous Agents in Radio Communication Denied Environments.
Recorded: 10 November 2024
Trustworthy decision-making techniques used for planning and goal reasoning on autonomous system
Recorded: 24th October 2024
Applying UAVs for Defence in a North Australia Context
Recorded: 10 October 2024
Long-Term Prediction of Graph-Modelled Military Systems via Koopman Operator Theoretic Deep Learning
Recorded: 26 September 2024
Theoretic Approach to Optimal Path Planning for Uncrewed Platforms Tracking and localisation of objects of interest
Recorded: 29 August 2024
Enhancing Perception in Autonomous Systems through Biologically Inspired Processes
Recorded: 8 August 2024
Robotics Mobile Manipulation
Recorded: 25 July 2024
Robotics and Autonomous Systems Lab at the Australian Defence Force Academy
Recorded: 27 June 2024
Improved exploration strategies for contamination field mapping using mobile agents
Recorded: 30 May 2024
Event Based Scene Stabilisation
Recorded: 18 April 2024
Deep and machine learning modelling applied to imagery and hyperspectral imagery
Recorded: 28 March 2024
SmartNet development and research
Recorded: 23 November 2023
Safety verification for Learning Autonomous Systems in land combat vehicles
Recorded: 26 October 2023
IoMT Sensor Placement Research and Development
Recorded: 28 September 2023
Upcoming webinars
13 May
CADR-RAS Webinar: Harnessing AI: The Future of Efficient and Effective Defence Training
We have been developing a computational framework using machine learning/ genAI to simulate operators who DECIDE on actions, COMMUNICATE critical information, and ACT in coordination with human/autonomous agents.