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Titlebook: Robotics: Industry 4.0 Issues & New Intelligent Control Paradigms; Alla G. Kravets Book 2020 Springer Nature Switzerland AG 2020 Industria

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发表于 2025-3-21 18:11:04 | 显示全部楼层 |阅读模式
书目名称Robotics: Industry 4.0 Issues & New Intelligent Control Paradigms
编辑Alla G. Kravets
视频video
概述Examines theoretical foundations of industrial robotic control, formulates its concept within the frameworks of intelligent control methods and theories, and discusses the peculiarities of control tec
丛书名称Studies in Systems, Decision and Control
图书封面Titlebook: Robotics: Industry 4.0 Issues & New Intelligent Control Paradigms;  Alla G. Kravets Book 2020 Springer Nature Switzerland AG 2020 Industria
描述This 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 scien
出版日期Book 2020
关键词Industrial Robotics; Intelligent Control; Collaborative Robotics; Multi-agent Systems; Robotics modeling
版次1
doihttps://doi.org/10.1007/978-3-030-37841-7
isbn_softcover978-3-030-37843-1
isbn_ebook978-3-030-37841-7Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Mathematical Model of a Swarm Robotic System with Wireless Bi-directional Energy Transfereach agent can transfer and accept energy, are insufficiently developed. Present mathematical models don’t account for peculiarities of wireless energy transfer among swarm agents, acting inside the swarm, as well separately from it. Further, we consider the existing mathematical model and current r
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Control and Ergonomic Problems of Collaborative Roboticse and work. It results in a change of the method of communication between human and “intelligence robot” capable of autonomous behavior—from control to collaboration. The new branch of robotics has been formed nowadays as collaborative robotics. The new ways of application of robotics create the new
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Human-Robot Interaction Efficiency and Human-Robot Collaborationsented difference between collaborative robots and other robotic solutions. Collaborative robot technical specification reviewed and the efficiency of human-robot interaction and the HRC Index. In safety case, it is important to identify sources of potential harm, to determine which of the persons i
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Human-Robot Cooperation in Technological Wall Climbing Robot Systemre, control, and application of every original machine. The goals of this paper are to take attention to the particularities of man-operator participation in multilevel control system of underwater wall-climbing robots (UWCR) occupied with vacuum control with vacuum contact devices (VCD), to analyze
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Analysis of Dynamics in Human—Exoskeleton Collaborative Systemof the operator, the requirements and limitations imposed on the exoskeleton. Exoskeletons, presented on the market of their functional-parametric structure and technical characteristics, are investigated. The method of generating design solutions is considered by the example of an exoskeleton. An a
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Formation Control of Ground Multi-agent System Using Quadcopter with Cameraopter vision system and the lidar sensor of the ground agent to create a global map. Then, we perform coordinate estimation of the ground agent by using the terrestrial agent’s odometer, GPS, and quadcopter vision system. Finally, we use the finite state machine theory to control the switching of gr
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