Ontology for group of rescuing robots

• Published in: IOP Conference Series: Earth and Environmental Science
• Main Authors: Kulichenko, A D, Polovko, S A, Yu Smirnova, E, Shubin, P K, Ulanov, V N
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: IOP Publishing 2020
• Subjects: Arctic; Cora
• Online Access: http://dx.doi.org/10.1088/1755-1315/539/1/012121; https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012121/pdf; https://iopscience.iop.org/article/10.1088/1755-1315/539/1/012121

Abstract Annotation. In general, almost all fields of activities in the High North and the Arctic Region can be classified as either of high or extreme risks, as any kind of emergency at industrial site/object facility is very likely to lead to a large number of casualties. Rescuing people in distress is a complicated and challenging task. Having experience of numerous rescuing activities, it has shown that application of conventional rescue equipment in northern environments is not so effective: part of rescue facilities (such as medical aircrafts and ships) are based far from location of emergency, whereas the other part (floats, boats) have very limited capabilities. However, if arrived 48 hours after the catastrophe, there is almost zero possibility to find anyone alive, and the situation often becomes even worse because of the fact that rescuers have absolutely no idea about the actual situation and conditions within the emergency area or zone. Use of robotic groups in order to provide searching of survivors, lifting them up from either sea or ice surface, considering also further transporting of the people suffered - to stationary point-of-care or station of medical aid. Should tasks of robot group operation planning and of challenging situations complex analysis be considered, the most important is to implement standardized language with very clearly defined terminology. To solve this task, it is necessary to have appropriate ontology, i.e. it is ontology that determines core constructs, properties and connections. The article indicates core robotic ontologies, standardized and currently applied by international engineering community, as well as proposes extended solution of already existing IEEE standards (CORA, etc.), formulated with application of core SUMO ontology.