A review of point cloud registration algorithms for mobile robotics
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 …
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
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 …
successful robot deployment in actual disaster scenarios. Most of these disaster …
Agricultural robotics: the future of robotic agriculture
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 …
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
Abstract Cyanobacterial Harmful Algal Blooms (CyanoHABs) in lakes and reservoirs have
increased substantially in recent decades due to different environmental factors. Its early …
increased substantially in recent decades due to different environmental factors. Its early …
Robotic monitoring of habitats: The natural intelligence approach
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 …
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 …
unknown function takes value above or below some given threshold level. As a concrete …
Adaptive continuous‐space informative path planning for online environmental monitoring
Autonomous mobile robots are increasingly employed to take measurements for
environmental monitoring, but planning informative, measurement‐rich paths through large …
environmental monitoring, but planning informative, measurement‐rich paths through large …
Data-driven robotic sampling for marine ecosystem monitoring
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 …
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
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 …
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
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 …
optimization (BO) and level-set estimation (LSE) with Gaussian processes in a unified …