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06/26/2023
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security
Adversarial Machine Learning (AML) represents the ability to disrupt Mac...
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05/05/2022
Response Component Analysis for Sea State Estimation Using Artificial Neural Networks and Vessel Response Spectral Data
The use of the `ship as a wave buoy analogy' (SAWB) provides a novel mea...
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04/24/2020
Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding
The control and guidance of multi-robots (swarm) is a non-trivial proble...
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02/23/2020
Crossing the Reality Gap with Evolved Plastic Neurocontrollers
A critical issue in evolutionary robotics is the transfer of controllers...
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03/04/2019
Evolving Spiking Neural Networks for Nonlinear Control Problems
Spiking Neural Networks are powerful computational modelling tools that ...
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11/15/2018
Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory
The movement of cooperative robots in a densely cluttered environment ma...
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11/15/2018
Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments
This paper tackles the distributed leader-follower (L-F) control problem...
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10/10/2018