Environmental sensor networks in ecological research

PW Rundel, EA Graham, MF Allen, JC Fisher… - New …, 2009 - Wiley Online Library
Environmental sensor networks offer a powerful combination of distributed sensing capacity,
real‐time data visualization and analysis, and integration with adjacent networks and remote …

Sensing and Artificial Perception for Robots in Precision Forestry: A Survey

JF Ferreira, D Portugal, ME Andrada, P Machado… - Robotics, 2023 - mdpi.com
Artificial perception for robots operating in outdoor natural environments, including forest
scenarios, has been the object of a substantial amount of research for decades. Regardless …

[PDF][PDF] Submodular function maximization.

A Krause, D Golovin - Tractability, 2014 - cs.cmu.edu
Submodularity1 is a property of set functions with deep theoretical consequences and far–
reaching applications. At first glance it appears very similar to concavity, in other ways it …

[PDF][PDF] Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies.

A Krause, A Singh, C Guestrin - Journal of Machine Learning Research, 2008 - jmlr.org
When monitoring spatial phenomena, which can often be modeled as Gaussian processes
(GPs), choosing sensor locations is a fundamental task. There are several common …

Efficient informative sensing using multiple robots

A Singh, A Krause, C Guestrin, WJ Kaiser - Journal of Artificial Intelligence …, 2009 - jair.org
The need for efficient monitoring of spatio-temporal dynamics in large environmental
applications, such as the water quality monitoring in rivers and lakes, motivates the use of …

[PDF][PDF] Robust Submodular Observation Selection.

A Krause, HB McMahan, C Guestrin, A Gupta - Journal of Machine …, 2008 - jmlr.org
In many applications, one has to actively select among a set of expensive observations
before making an informed decision. For example, in environmental monitoring, we want to …

[PDF][PDF] Near-optimal observation selection using submodular functions

A Krause, C Guestrin - AAAI, 2007 - cdn.aaai.org
AI problems such as autonomous robotic exploration, automatic diagnosis and activity
recognition have in common the need for choosing among a set of informative but possibly …

A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot

R Martinez-Cantin, N De Freitas, E Brochu… - Autonomous …, 2009 - Springer
We address the problem of online path planning for optimal sensing with a mobile robot. The
objective of the robot is to learn the most about its pose and the environment given time …

Bayesian optimisation for intelligent environmental monitoring

R Marchant, F Ramos - 2012 IEEE/RSJ international …, 2012 - ieeexplore.ieee.org
Environmental Monitoring (EM) is typically performed using sensor networks that collect
measurements in predefined static locations. The possibility of having one or more …

Submodular optimization with routing constraints

H Zhang, Y Vorobeychik - Proceedings of the AAAI conference on …, 2016 - ojs.aaai.org
Submodular optimization, particularly under cardinality or cost constraints, has received
considerable attention, stemming from its breadth of application, ranging from sensor …