858 citations
- The University of AdelaideAU53 papers
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26 papers · 1 filter
Localising In Complex Scenes Using Balanced Adversarial Adaptation
Gil Avraham, Yan Zuo, Tom Drummond
Domain adaptation and generative modelling have collectively mitigated the expensive nature of data collection and labelling by leveraging the rich abundance of accurate, labelled…
NEO: A Novel Expeditious Optimisation Algorithm for Reactive Motion Control of Manipulators
Jesse Haviland, Peter Corke
We present NEO, a fast and purely reactive motion controller for manipulators which can avoid static and dynamic obstacles while moving to the desired end-effector pose. Additional…
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments
Bruno Ferrarini, Michael Milford, Klaus D. McDonald-Maier +1
Visual place recognition (VPR) is a robot's ability to determine whether a place was visited before using visual data. While conventional hand-crafted methods for VPR fail under ex…
A Minimum Energy Filter for Localisation of an Unmanned Aerial Vehicle
Jack Henderson, Mohammad Zamani, Robert Mahony +1
Accurate localisation of unmanned aerial vehicles is vital for the next generation of automation tasks. This paper proposes a minimum energy filter for velocity-aided pose estimati…
Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems
Jack Liell-Cock, Ian R. Manchester, Guodong Shi
The nature of information sharing in common distributed consensus algorithms permits network eavesdroppers to expose sensitive system information. An important parameter within dis…
Initial-Value Privacy of Linear Dynamical Systems
Lei Wang, Ian R. Manchester, Jochen Trumpf +1
This paper studies initial-value privacy problems of linear dynamical systems. We consider a standard linear time-invariant system with random process and measurement noises. For s…