In recent years, there has been a remarkable surge in the development and research of
tethered aerial systems, thus reflecting a growing interest in their diverse applications. Long …

Underwater energy-harvesting kites possess the capacity, under appropriate control
algorithms, to deliver more than an order of magnitude additional power per unit mass than …

Recent research progress has confirmed that using advanced control methods (such as,
path control) can result in massive increases in energy capture for marine hydrokinetic …

Numerous mobile robotic applications require agents to persistently explore and exploit
spatiotemporally varying, partially observable environments. Ultimately, the mathematical …

This paper focuses on the empirical derivation of regret bounds for mobile systems that can
vary their locations within a spatiotemporally varying environment in order to maximize …

This paper presents a novel spatiotemporal optimization approach for maximizing the output
power of an ocean current turbine (OCT) under uncertain ocean velocities. In order to …

This paper focuses on the empirical derivation of regret bounds for mobile systems that can
optimize their locations in real-time within a spatiotemporally varying renewable energy …

Various missions can be carried out by intelligent robotic systems, especially for some
dangerous tasks in inaccessible regions by human operators on behalf of humans, thanks to …

The overarching objective of this research is to use machine learning tools to address the
design and real-time control of active systems, focusing specifically by tethered airborne …

Wind energy represents a leading renewable resource for the production of clean and
sustainable electricity for on-and off-grid networks. Nevertheless, tower and foundation …