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Integrated Simulation of Gas Dispersion and Mobile Sensing Systems
Örebro University, School of Science and Technology. (AASS MRO Lab)ORCID iD: 0000-0001-5061-5474
Örebro University, School of Science and Technology. (AASS MRO Lab)ORCID iD: 0000-0003-0217-9326
Örebro University, School of Science and Technology. (AASS MRO Lab)
Sibley School of Mechanical and Aerospace Engineering, Cornell University, NY, USA.
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2015 (English)In: Workshop on Realistic, Rapid and Repeatable Robot Simulation, 2015Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Accidental or intentional releases of contaminants into the atmosphere pose risks to human health, the environment, the economy, and national security. In some cases there may be a single release from an unknown source, while in other cases there are fugitive emissions from multiple sources. The need to locate and characterize the sources efficiently - whether it be the urgent need to evacuate or the systematic need to cover broad geographical regions with limited resources - is shared among all cases. Efforts have begun to identify leaks with gas analyzers mounted on Mobile Robot Olfaction (MRO) systems, road vehicles, and networks of fixed sensors, such as may be based in urban environments. To test and compare approaches for gas-sensitive robots a truthful gas dispersion simulator is needed. In this paper, we present a unified framework to simulate gas dispersion and to evaluate mobile robotics and gas sensing technologies using ROS. This framework is also key to developing and testing optimization and planning algorithms for determining sensor placement and sensor motion, as well as for fusing and connecting the sensor measurements to the leak locations.

Place, publisher, year, edition, pages
2015.
Keyword [en]
Robot simulatior, gas dispersion simulation, metal oxide sensors
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-48001OAI: oai:DiVA.org:oru-48001DiVA: diva2:900844
Conference
Robotics Science and Systems (RSS) 2015, Workshop on Realistic, Rapid and Repeatable Robot Simulation (R4 SIM), Sapienza University, Rome, Italy, July 16, 2015
Available from: 2016-02-05 Created: 2016-02-05 Last updated: 2017-10-17Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
  • Other style
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Language
  • de-DE
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