Project dates: 01/01/2018 - 31/12/2020
This Project aims to develop a framework for Unmanned Aerial Vehicles (UAV), which optimally balances localisation, mapping and other objectives in order to solve sequential decision tasks under map and pose uncertainty. This Project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localization and Mapping (SLAM) algorithms with Partially Observable Markov Decision Processes (POMDP). Expected outcomes of this Project will enable UAVs to solve multiple objectives under map and pose uncertainty in GPS-denied environments.
Real world impact
This should provide significant benefits, such as more responsive disaster management, bushfire monitoring and biosecurity, and improved environmental monitoring.
Funding / Grants
- ARC DP180102250 (2018 - 2020)