LEADER 04217nam 22006495 450 001 9910484320303321 005 20250628173216.0 010 $a3-030-37841-1 024 7 $a10.1007/978-3-030-37841-7 035 $a(CKB)4900000000505223 035 $a(MiAaPQ)EBC6006819 035 $a(DE-He213)978-3-030-37841-7 035 $a(PPN)243771231 035 $a(EXLCZ)994900000000505223 100 $a20200106d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRobotics: Industry 4.0 Issues & New Intelligent Control Paradigms /$fedited by Alla G. Kravets 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 241 p. :) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v272 311 1 $a3-030-37840-3 320 $aIncludes bibliographical references. 327 $aObject recognition of the robotic system with using a parallel convolutional neural network -- Mathematical model of a swarm robotic system with wireless bi-directional energy transfer -- Pareto - Optimal Solutions and Their Application in Designing Robots and Robotic Systems -- Control and Ergonomic problems of Collaborative Robotics -- The Concept of Failure- and Fault-Tolerance on Base of the Dynamic Redundancy for Distributed Control Systems of Spacecraft Groups -- Industrial Robotics Review -- Development of an Information Control System for a Remotely Operated Vehicle with Hybrid Propulsion System -- Control system of a starting -landing platform with parallel kinematics for pilotless flying machines in the conditions of uncertainty -- Intuitive Industrial Robot Programming Interface with Augmented Reality Environment. 330 $aThis book focuses on open issues of new intelligent control paradigms and their usage. Industry 4.0 requires new approaches in the context of secure connection, control, and maintenance of robotic systems, as well as enhancing their interaction with humans. The book presents recent advances in industrial robotics, and robotic design and modeling for various domains, and discusses the methodological foundations of the collaborative robotics concept as a breakthrough in modern industrial technologies. It also describes the implementation of multi-agent models, programs and methods that could be used in future processes for control, condition assessment, diagnostics, prognostication, and proactive maintenance. Further, the book addresses the issue of ensuring the space robotics systems and proposes reliable novel solutions. The authors also illustrate the integration of deep-learning methods and mathematical modeling based on examples of successful robotic systems in various countries, and analyze the connections between robotic modeling and design from the positions of new industrial challenges. The book is intended for practitioners and enterprise representatives, as well as scientists and Ph.D. and Master?s students pursuing research in the area of cyber-physical system development and implementation in various domains. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v272 606 $aComputational intelligence 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aManufactures 606 $aComputational Intelligence 606 $aControl, Robotics, Automation 606 $aControl and Systems Theory 606 $aMachines, Tools, Processes 615 0$aComputational intelligence. 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aManufactures. 615 14$aComputational Intelligence. 615 24$aControl, Robotics, Automation. 615 24$aControl and Systems Theory. 615 24$aMachines, Tools, Processes. 676 $a629.892 702 $aKravets$b Alla G$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484320303321 996 $aRobotics$958467 997 $aUNINA