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Effective informational entropy reduction in multi-robot systems based on real-time TVS

Mykhailo Ivanov, Oleg Sergiyenko, Paolo Mercorelli, Wilmar Hernández, Vera Tyrsa, Daniel Hernández‐Balbuena, Julio C. Rodríguez‐Quiñonez, В. М. Карташов, Marina Kolendovska

Year
2019
Citations
12

Abstract

Paper covers the questions of informational entropy reduction and effectiveness improvement of multi-robot systems (MRS) in densely cluttered terrain. The presented approach uses the author's real-time laser technical vision systems (TVS) as the main tool for environmental sensing. The article proposes the MRS collaboration approach during the indoor environment digitalization while sharing information about detected obstacles.

Keywords

RobotTerrainComputer scienceEntropy (arrow of time)Reduction (mathematics)Human–computer interactionArtificial intelligenceReal-time computingComputer vision

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