A review of point cloud registration algorithms for mobile robotics

F Pomerleau, F Colas, R Siegwart - Foundations and Trends® …, 2015 - nowpublishers.com
The topic of this review is geometric registration in robotics. Registration algorithms
associate sets of data into a common coordinate system. They have been used extensively …

A survey on unmanned surface vehicles for disaster robotics: Main challenges and directions

VAM Jorge, R Granada, RG Maidana, DA Jurak… - Sensors, 2019 - mdpi.com
Disaster robotics has become a research area in its own right, with several reported cases of
successful robot deployment in actual disaster scenarios. Most of these disaster …

Agricultural robotics: the future of robotic agriculture

T Duckett, S Pearson, S Blackmore, B Grieve… - arXiv preprint arXiv …, 2018 - arxiv.org
Agri-Food is the largest manufacturing sector in the UK. It supports a food chain that
generates over {\pounds} 108bn pa, with 3.9 m employees in a truly international industry …

[HTML][HTML] Semantic segmentation based on Deep learning for the detection of Cyanobacterial Harmful Algal Blooms (CyanoHABs) using synthetic images

F Barrientos-Espillco, E Gascó, CI López-González… - Applied Soft …, 2023 - Elsevier
Abstract Cyanobacterial Harmful Algal Blooms (CyanoHABs) in lakes and reservoirs have
increased substantially in recent decades due to different environmental factors. Its early …

Robotic monitoring of habitats: The natural intelligence approach

F Angelini, P Angelini, C Angiolini, S Bagella… - IEEE …, 2023 - ieeexplore.ieee.org
In this paper, we first discuss the challenges related to habitat monitoring and review
possible robotic solutions. Then, we propose a framework to perform terrestrial habitat …

[PDF][PDF] Active learning for level set estimation

A Gotovos - 2013 - research-collection.ethz.ch
Many information gathering problems require determining the set of points, for which an
unknown function takes value above or below some given threshold level. As a concrete …

Adaptive continuous‐space informative path planning for online environmental monitoring

G Hitz, E Galceran, MÈ Garneau… - Journal of Field …, 2017 - Wiley Online Library
Autonomous mobile robots are increasingly employed to take measurements for
environmental monitoring, but planning informative, measurement‐rich paths through large …

Data-driven robotic sampling for marine ecosystem monitoring

J Das, F Py, JBJ Harvey, JP Ryan… - … Journal of Robotics …, 2015 - journals.sagepub.com
Robotic sampling is attractive in many field robotics applications that require persistent
collection of physical samples for ex-situ analysis. Examples abound in the earth sciences in …

Autonomous sampling of water columns using gliding robotic fish: Algorithms and harmful-algae-sampling experiments

F Zhang, O Ennasr, E Litchman, X Tan - IEEE Systems Journal, 2015 - ieeexplore.ieee.org
Gliding robotic fish, which is a hybrid of underwater gliders and robotic fish, is energy
efficient and highly maneuverable and holds strong promise for long-duration monitoring of …

Truncated variance reduction: A unified approach to bayesian optimization and level-set estimation

I Bogunovic, J Scarlett, A Krause… - Advances in neural …, 2016 - proceedings.neurips.cc
We present a new algorithm, truncated variance reduction (TruVaR), that treats Bayesian
optimization (BO) and level-set estimation (LSE) with Gaussian processes in a unified …