This paper considers the task of implementing proactive control of robotic systems (RS) to rescue the sufferers. The use of a wide range of sensory elements in the RS allows you to expand the list of monitored parameters and to generate the control action with the use of predictive and proactive capabilities based on the methods and technology of integrated modeling. Consider a set of models allows to estimate the effectiveness of the existing RS rescue of sufferers or form of requirements to performance characteristics of the created RS to provide the necessary indicators of the effectiveness of rescue operations.
CITATION STYLE
Motienko, A., Dorozhko, I., Tarasov, A., & Basov, O. (2016). Proactive robotic systems for effective rescuing sufferers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9812 LNCS, pp. 172–180). Springer Verlag. https://doi.org/10.1007/978-3-319-43955-6_21
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