Mobile robots can be integrated as an entity in the new paradigm of the Internet of Things
(IoT) and can be instrumental in extending sensing and manipulation capabilities to remote …

Bayesian optimisation (BO) has been a successful approach to optimise functions which are
expensive to evaluate and whose observations are noisy. Classical BO algorithms, however …

Information gathering algorithms play a key role in unlocking the potential of robots for
efficient data collection in a wide range of applications. However, most existing strategies …

It is a common practice in the machine learning community to assume that the observed data
are noise-free in the input attributes. Nevertheless, scenarios with input noise are common …

To function at the same operational tempo as human teammates on the battlefield in a
robust and resilient manner, autonomous systems must assess and manage risk as it …

Bayesian optimisation (BO) algorithms have been successfully applied to a wide range of
problems where the objective function is expensive to evaluate and the observed values are …

Under an increasing demand for data to understand critical processes in our world, robots
have become powerful tools to automatically gather data and interact with their …