Detail publikace

Multi-Robotic Area Exploration for Environmental Protection

LÁZNA, T. JÍLEK, T. GÁBRLÍK, P. ŽALUD, L.

Originální název

Multi-Robotic Area Exploration for Environmental Protection

Anglický název

Multi-Robotic Area Exploration for Environmental Protection

Jazyk

en

Originální abstrakt

The paper discusses methods allowing a multi-robotic system to perform fully autonomous exploration and mapping of a defined area. The output of the operating cycle is a 3D map of the given area including relevant environmental parameters, or, in our case, the intensity of gamma radiation. The main motivation behind the scheme characterized herein arises from the intensive demand within Industry 4.0 for autonomous area-guarding around key industrial objects, such as nuclear power plants, chemical facilities, and hi-tech factories. The actual approach is demonstrated on an ATEROS (Autonomous Telepresence Robotic System) developed by our research team; the concept is highly versatile, and we believe it can be used in wide spectrum of multi-agent robotic systems. We describe the task of aerial 3D mapping through a light unmanned aerial vehicle (UAV), complemented with the ground mapping of the gamma radiation intensities; in more general terms, the assignment can be referred to as radiation source search through an unmanned ground vehicle (UGV). All the data have to be geo-referenced to form an applicable output.

Anglický abstrakt

The paper discusses methods allowing a multi-robotic system to perform fully autonomous exploration and mapping of a defined area. The output of the operating cycle is a 3D map of the given area including relevant environmental parameters, or, in our case, the intensity of gamma radiation. The main motivation behind the scheme characterized herein arises from the intensive demand within Industry 4.0 for autonomous area-guarding around key industrial objects, such as nuclear power plants, chemical facilities, and hi-tech factories. The actual approach is demonstrated on an ATEROS (Autonomous Telepresence Robotic System) developed by our research team; the concept is highly versatile, and we believe it can be used in wide spectrum of multi-agent robotic systems. We describe the task of aerial 3D mapping through a light unmanned aerial vehicle (UAV), complemented with the ground mapping of the gamma radiation intensities; in more general terms, the assignment can be referred to as radiation source search through an unmanned ground vehicle (UGV). All the data have to be geo-referenced to form an applicable output.

Dokumenty

BibTex


@inproceedings{BUT139202,
  author="Tomáš {Lázna} and Tomáš {Jílek} and Petr {Gábrlík} and Luděk {Žalud}",
  title="Multi-Robotic Area Exploration for Environmental Protection",
  annote="The paper discusses methods allowing a multi-robotic system to perform fully autonomous exploration and mapping of a defined area. The output of the operating cycle is a 3D map of the given area including relevant environmental parameters, or, in our case, the intensity of gamma radiation. The main motivation behind the scheme characterized herein arises from the intensive demand within Industry 4.0 for autonomous area-guarding around key industrial objects, such as nuclear power plants, chemical facilities, and hi-tech factories. The actual approach is demonstrated on an ATEROS (Autonomous Telepresence Robotic System) developed by our research team; the concept is highly versatile, and we believe it can be used in wide spectrum of multi-agent robotic systems. 
We describe the task of aerial 3D mapping through a light unmanned aerial vehicle (UAV), complemented with the ground mapping of the gamma radiation intensities; in more general terms, the assignment can be referred to as radiation source search through an unmanned ground vehicle (UGV). All the data have to be geo-referenced to form an applicable output.",
  address="Springer, Cham",
  booktitle="Industrial Applications of Holonic and Multi-Agent Systems",
  chapter="139202",
  doi="10.1007/978-3-319-64635-0_18",
  howpublished="print",
  institution="Springer, Cham",
  year="2017",
  month="august",
  pages="240--254",
  publisher="Springer, Cham",
  type="conference paper"
}