Website
https://dataportal.arc.gov.au/NCGP/API/grants/DP210101465
Funding Status
Active
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Funded Activity Summary
Learning deep resilient behaviour for uncertainty-aware autonomy. This research project aims to propose a novel framework for developing uncertainty-aware autonomous systems using deep learning. There are fundamental gaps in our knowledge of deep uncertainty quantification and its application for risk-aware decision making. Novel algorithms will be proposed to reliably generate deep uncertainty estimates with low computational overhead. These estimates will be then exploited by safety-critical systems such as autonomous robots to identify risky actions and avoid catastrophise. Developed algorithms will be implemented on an autonomous robotic system to make it averse to uncertainties. The outcomes will greatly increase reliable telerobotic applications in mining, manufacturing, defence, and health.Funded Activity Details
Start Date: 2021
End Date: 12-2023
Funding Scheme: Discovery Projects
Funding Amount: $453,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Neural, Evolutionary and Fuzzy Computation | Control Systems, Robotics and Automation | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Engineering | Manufacturing not elsewhere classified |
