Discovery Projects - Grant ID: DP190102963

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP190102963

Funding Status
Active

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Funded Activity Summary

Robust learning of dynamic systems. Robots and other autonomous machines use models of the real world to predict the result of their actions and make decisions, but existing methods used for machine-learning are unreliable in many cases and can be easily fooled. This project aims to make machine-learning of dynamic system models reliable, accurate, and secure. The outcomes of this project will be new models and algorithms that ensure safety and increase accuracy of models learned from data. This project will benefit robotics, control engineering, infrastructure automation, and other fields that demand the capability to model physical systems from limited data. It will also improve cybersecurity by making learning algorithms resilient to deliberate attacks with false data.

Funded Activity Details

Start Date: 01-01-2019

End Date: 31-12-2022

Funding Scheme: Discovery Projects

Funding Amount: $505,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Calculus of Variations, Systems Theory and Control Theory | Electrical and Electronic Engineering | Pattern Recognition and Data Mining | Control Systems, Robotics and Automation

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in Engineering | Expanding Knowledge in the Information and Computing Sciences | National Security |

Other Keywords

Calculus of Variations, Systems Theory and Control Theory | Control Systems, Robotics and Automation | Electrical and Electronic Engineering | Expanding Knowledge in Engineering | Expanding Knowledge in the Information and Computing Sciences | National Security | Pattern Recognition and Data Mining

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