AHOI: Inexpensive, low-power communication and localization for underwater sensor networks and μAUVs

BC Renner, J Heitmann, F Steinmetz - ACM Transactions on Sensor …, 2020 - dl.acm.org
The recent development of small, cheap AUVs enables a plethora of underwater near-and
inshore applications. Among these are monitoring of wind parks, detection of pollution …

A Survey of Decision-Theoretic Approaches for Robotic Environmental Monitoring

Y Sung, Z Chen, J Das, P Tokekar - Foundations and Trends® …, 2023 - nowpublishers.com
Robotics has dramatically increased our ability to gather data about our environments,
creating an opportunity for the robotics and algorithms communities to collaborate on novel …

Chance-constrained covariance steering in a Gaussian random field via successive convex programming

J Ridderhof, P Tsiotras - Journal of Guidance, Control, and Dynamics, 2022 - arc.aiaa.org
The problem of optimizing affine feedback laws that explicitly steer the mean and covariance
of an uncertain system state in the presence of a Gaussian random field is considered …

Attention-driven active sensing with hybrid neural network for environmental field mapping

T Li, C Wang, MQH Meng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In environmental monitoring programs, mobile robots have been widely deployed for remote
sensing, with the end objective of monitoring and mapping out environmental fields …

Embedded stochastic field exploration with micro diving agents using Bayesian optimization-guided tree-search and GMRFs

DA Duecker, B Mersch, RC Hochdahl… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
Exploration and monitoring of hazardous fields in marine environments is one of the most
promising tasks to be performed by fleets of low-cost micro autonomous underwater vehicles …

Learning environmental field exploration with computationally constrained underwater robots: Gaussian processes meet stochastic optimal control

DA Duecker, AR Geist, E Kreuzer, E Solowjow - Sensors, 2019 - mdpi.com
Autonomous exploration of environmental fields is one of the most promising tasks to be
performed by fleets of mobile underwater robots. The goal is to maximize the information …

Information-based hierarchical planning for a mobile sensing network in environmental mapping

T Li, K Tong, M Xia, B Li, CW de Silva - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
This article investigates the problem of information-based sampling design and path
planning for a mobile sensing network to predict scalar fields of monitored environments. A …

Learning, localization, and control of hydrobatic micro underwater robots for autonomous field exploration in confined environments

DA Dücker - 2022 - tore.tuhh.de
Exploration and monitoring of hazardous environmental fields are among the most
promising tasks to be performed by micro autonomous underwater vehicles (µAUVs) …

[PDF][PDF] A fast method for mobile in-situ monitoring of optical properties in aquatic environments

R Schima - 2018 - researchgate.net
The protection and sustainable use of marine resources require a better understanding of
oceans and marine ecosystems. Current methods used in applied research and scientific …

Information-Collection in Robotic Process Monitoring: An Active Perception Approach

MA Sehr, WX Xia, P Akella, JA Ojea… - arXiv preprint arXiv …, 2020 - arxiv.org
Active perception systems maximizing information gain to support both monitoring and
decision making have seen considerable application in recent work. In this paper, we …