Publications by Faezeh Rahbar | EPFL Graph Search

Information-Driven Gas Distribution Mapping for Autonomous Mobile Robots

Alcherio Martinoli, Faezeh Rahbar, Chiara Ercolani

The ability to sense airborne pollutants with mobile robots provides a valuable asset for domains such as industrial safety and environmental monitoring. Oftentimes, this involves detecting how certain gases are spread out in the environment, commonly refe ...

MDPI2023

Towards Efficient Gas Leak Detection in Built Environments: Data-Driven Plume Modeling for Gas Sensing Robots

Alcherio Martinoli, Faezeh Rahbar, Chiara Ercolani, Wanting Jin

The deployment of robots for Gas Source Lo- calization (GSL) tasks in hazardous scenarios significantly reduces the risk to humans and animals. Gas sensing using mobile robots focuses primarily on simplified scenarios, due to the complexity of gas dispersi ...

2023

Source Term Estimation Algorithms for Gas Sensing Mobile Robots

Faezeh Rahbar

Localizing sources of airborne chemicals with mobile sensing systems finds applications in various crucial and perilous situations, such as safety and security investigation for detecting explosives or illegal drugs, search and rescue operations to locate ...

EPFL2021

A Distributed Source Term Estimation Algorithm for Multi-Robot Systems

Alcherio Martinoli, Faezeh Rahbar

Finding sources of airborne chemicals with mobile sensing systems finds applications in safety, security, and emergency situations related to medical, domestic, and environmental domains. Given the often critical nature of all the applications, it is impor ...

IEEE2020

An Algorithm for Odor Source Localization based on Source Term Estimation

Alcherio Martinoli, Ali Marjovi, Faezeh Rahbar

Finding sources of airborne chemicals with mobile sensing systems finds applications across the security, safety, domestic, medical, and environmental domains. In this paper, we present an algorithm based on source term estimation for odor source localizat ...

IEEE2019

Design and Performance Evaluation of an Algorithm Based on Source Term Estimation for Odor Source Localization

Alcherio Martinoli, Ali Marjovi, Faezeh Rahbar

Finding sources of airborne chemicals with mobile sensing systems finds applications across safety, security, environmental monitoring, and medical domains. In this paper, we present an algorithm based on Source Term Estimation for odor source localization ...

2019

Design and Performance Evaluation of an Infotaxis-Based Three-Dimensional Algorithm for Odor Source Localization

Alcherio Martinoli, Ali Marjovi, Faezeh Rahbar, Julian Ruddick

In this paper we tackle the problem of finding the source of a gaseous leak with a robot in a three-dimensional (3-D) physical space. The proposed method extends the operational range of the probabilistic Infotaxis algorithm [1] into 3-D and makes multiple ...

IEEE2018

A 3-D Bio-inspired Odor Source Localization and its Validation in Realistic Environmental Conditions

Alcherio Martinoli, Pierre Charles Marie Kibleur, Ali Marjovi, Faezeh Rahbar

Finding the source of gaseous compounds released in the air with robots finds several applications in various critical situations, such as search and rescue. While the distribution of gas in the air is inherently a 3D phenomenon, most of the previous works ...

2017

Adaptive Lévy Taxis for Odor Source Localization in Realistic Environmental Conditions

Alcherio Martinoli, Romain Jean-Paul Emery, Ali Marjovi, Faezeh Rahbar

Odor source localization with mobile robots has recently been subject to many research works, but remains a challenging task mainly due to the large number of environmental parameters that make it hard to describe gas concentration fields. We designed a ne ...

2017