A survey on autonomous environmental monitoring approaches: towards unifying active sensing and reinforcement learning

D Mansfield, A Montazeri - Frontiers in Robotics and AI, 2024‏ - frontiersin.org
The environmental pollution caused by various sources has escalated the climate crisis
making the need to establish reliable, intelligent, and persistent environmental monitoring …

[HTML][HTML] Identification of an Unknown Stationary Emission Source in Urban Geometry Using Bayesian Inference

P Gkirmpas, G Tsegas, G Ioannidis, C Vlachokostas… - Atmosphere, 2024‏ - mdpi.com
Estimating the parameters of an unidentified toxic pollutant source is crucial for public safety,
especially in densely populated urban areas. Implementing source term estimation methods …

Path Planning for Autonomous Mobile Robot Using Intelligent Algorithms

J Galarza-Falfan, EE García-Guerrero… - Technologies, 2024‏ - mdpi.com
Machine learning technologies are being integrated into robotic systems faster to enhance
their efficacy and adaptability in dynamic environments. The primary goal of this research …

[HTML][HTML] AID-RL: Active information-directed reinforcement learning for autonomous source seeking and estimation

Z Li, WH Chen, J Yang, Y Yan - Neurocomputing, 2023‏ - Elsevier
This paper proposes an active information-directed reinforcement learning (AID-RL)
framework for autonomous source seeking and estimation problem. Source seeking …

An active olfaction approach using deep reinforcement learning for indoor attenuation odor source localization

H Li, J Yuan, H Yuan - IEEE Sensors Journal, 2024‏ - ieeexplore.ieee.org
The localization of odor sources (eg, poisonous odor sources) is an important task for the
security of the environment and human society. Traditional robot localization methods are …

Reinforcement learning for source location estimation: A multi-step approach

Y Shi, K McAreavey, C Liu, W Liu - 2024 IEEE International …, 2024‏ - ieeexplore.ieee.org
Gas leaks present an undeniable safety concern; the ability to swiftly and accurately detect
the source of a leak and pertinent details is critical for effective emergency response. The …

Improved socialtaxis for information-theoretic source search using cooperative multiple agents in turbulent environments

H Jang, M Park, H Oh - Expert Systems with Applications, 2023‏ - Elsevier
This paper proposes an improved version of the Socialtaxis approach for efficient source
search and accurate estimation in a turbulent atmospheric environment using multiple …

Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields

Y Shi, M Yang, Q Zhang, W Zhang, C Liu… - ar** of greenhouse gas fluxes at the Earth's surface is essential for the
validation and calibration of climate models. In this study, we present a framework for …

Robotic Odor Source Localization via End-to-End Recurrent Deep Reinforcement Learning

L Wang, S Pang - 2023 Seventh IEEE International Conference …, 2023‏ - ieeexplore.ieee.org
This article presents a new olfactory-based navigation algorithm that guides a mobile robot
to find odor sources in unknown environments. The proposed navigation algorithm takes …