Neural Networks Fundamentals In Mobile Robot Control Systems
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Neural Networks Fundamentals In Mobile Robot Control Systems
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Author : Михаил Медведев
language : en
Publisher: Litres
Release Date : 2022-01-29
Neural Networks Fundamentals In Mobile Robot Control Systems written by Михаил Медведев and has been published by Litres this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-29 with Technology & Engineering categories.
Включает полное и систематизированное изложение материала по учебной программе курса «Интеллектуальные системы управления роботами». Адресован студентам, обучающимся по программам бакалавриата и магистратуры по специальности «Мехатроника и робототехника» Института радиотехники и систем управления Южного федерального университета. Включает темы, посвященные введению в нейронные сети, их применению, основам обучения нейронных сетей, многослойным нейронным сетям с прямой связью, передовым методам обучения нейронных сетей и варианты индивидуальных упражнений.
Sice 2002
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Author : Keisoku Jidō Seigyo Gakkai (Japan). Gakujutsu Kōenkai
language : en
Publisher:
Release Date : 2002
Sice 2002 written by Keisoku Jidō Seigyo Gakkai (Japan). Gakujutsu Kōenkai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Automatic control categories.
International Conference On Reliable Systems Engineering Icorse 2021
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Author : Daniela Doina Cioboată
language : en
Publisher: Springer Nature
Release Date : 2021-07-27
International Conference On Reliable Systems Engineering Icorse 2021 written by Daniela Doina Cioboată and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-27 with Technology & Engineering categories.
This current book comprises state-of-the-art research results in the field of mechatronics and reliable systems engineering, gathering papers from almost all continents. Since the chapters represent contributions of research scholars who work in both governmental financed institutions and in the business environment, one could infer that they certainly reflect a clear picture of the developments in these cutting-edge sciences. Moreover, the contributions are not limited to mechatronics, as nowadays it has grown to embed all smart technical sciences. Medical applications based on nano-technologies – seemingly the most promising of all newly developed branches – could not be left out of this work. It is our belief that the book is useful to both students, who want to learn from the best scholars (as most of the authors hold a Ph.D. degree and are well-known professors), and to researchers in all areas of smart engineering, who will definitely find here hot topics meant to inspire them in their line of work.
Model Abstraction In Dynamical Systems Application To Mobile Robot Control
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Author : Patricia Mellodge
language : en
Publisher: Springer
Release Date : 2008-09-18
Model Abstraction In Dynamical Systems Application To Mobile Robot Control written by Patricia Mellodge and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-18 with Technology & Engineering categories.
The subject of this book is model abstraction of dynamical systems. The p- mary goal of the work embodied in this book is to design a controller for the mobile robotic car using abstraction. Abstraction provides a means to rep- sent the dynamics of a system using a simpler model while retaining important characteristics of the original system. A second goal of this work is to study the propagation of uncertain initial conditions in the framework of abstraction. The summation of this work is presented in this book. It includes the following: • An overview of the history and current research in mobile robotic control design. • A mathematical review that provides the tools used in this research area. • The development of the robotic car model and both controllers used in the new control design. • A review of abstraction and an extension of these ideas into new system relationship characterizations called traceability and -traceability. • A framework for designing controllers based on abstraction. • An open-loop control design with simulation results. • An investigation of system abstraction with uncertain initial conditions.
Embedded Robotics
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Author : Thomas Bräunl
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-20
Embedded Robotics written by Thomas Bräunl and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-20 with Computers categories.
This book presents a unique examination of mobile robots and embedded systems, from introductory to intermediate level. It is structured in three parts, dealing with Embedded Systems (hardware and software design, actuators, sensors, PID control, multitasking), Mobile Robot Design (driving, balancing, walking, and flying robots), and Mobile Robot Applications (mapping, robot soccer, genetic algorithms, neural networks, behavior-based systems, and simulation). The book is written as a text for courses in computer science, computer engineering, IT, electronic engineering, and mechatronics, as well as a guide for robot hobbyists and researchers.
Neural Networks For Robotic Control
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Author : Ali M. S. Zalzala
language : en
Publisher: Prentice Hall
Release Date : 1996
Neural Networks For Robotic Control written by Ali M. S. Zalzala and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
1. An overview of neural networks in control applications; 2. Artificial neural network based intelligent robot dynamic control; 3. Neural servo controller for position, force stabbing control of robotic manipulators; 4. Model-based adaptive neural structures for robotic control; 5. Intelligent co-ordination of multiple systems with neural networks; 6. Neural networks for mobile robot piloting control; 7. A neural network controller for the navigation and obstacle avoidance of a mobile robot; An ultrasonic 3-D robot vision system based on the statistical properties of artificial neural networks; Visual control of robotic manipulator based on neural networks; 10. Brain building for a biological robot; 11. Robustness of a distributed neural network controller for locomotion in a hexapod robot.
The Complexity Of Robot Motion Planning
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Author : John Canny
language : en
Publisher: MIT Press
Release Date : 1988
The Complexity Of Robot Motion Planning written by John Canny and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Computers categories.
The Complexity of Robot Motion Planning makes original contributions both to roboticsand to the analysis of algorithms. In this groundbreaking monograph John Canny resolveslong-standing problems concerning the complexity of motion planning and, for the central problem offinding a collision free path for a jointed robot in the presence of obstacles, obtains exponentialspeedups over existing algorithms by applying high-powered new mathematical techniques.Canny's newalgorithm for this "generalized movers' problem," the most-studied and basic robot motion planningproblem, has a single exponential running time, and is polynomial for any given robot. The algorithmhas an optimal running time exponent and is based on the notion of roadmaps - one-dimensionalsubsets of the robot's configuration space. In deriving the single exponential bound, Cannyintroduces and reveals the power of two tools that have not been previously used in geometricalgorithms: the generalized (multivariable) resultant for a system of polynomials and Whitney'snotion of stratified sets. He has also developed a novel representation of object orientation basedon unnormalized quaternions which reduces the complexity of the algorithms and enhances theirpractical applicability.After dealing with the movers' problem, the book next attacks and derivesseveral lower bounds on extensions of the problem: finding the shortest path among polyhedralobstacles, planning with velocity limits, and compliant motion planning with uncertainty. Itintroduces a clever technique, "path encoding," that allows a proof of NP-hardness for the first twoproblems and then shows that the general form of compliant motion planning, a problem that is thefocus of a great deal of recent work in robotics, is non-deterministic exponential time hard. Cannyproves this result using a highly original construction.John Canny received his doctorate from MITAnd is an assistant professor in the Computer Science Division at the University of California,Berkeley. The Complexity of Robot Motion Planning is the winner of the 1987 ACM DoctoralDissertation Award.
Simulation For A Sustainable Future
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Author : Miguel Mujica Mota
language : en
Publisher: Springer Nature
Release Date : 2024-10-05
Simulation For A Sustainable Future written by Miguel Mujica Mota and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-05 with Computers categories.
The two volume set CCIS 2032 and 2033 constitutes the proceedings of the 11th Congress on Simulation for a Sustainable Future, EUROSIM 2023, which was held in Amsterdam, The Netherlands, during July 3–5, 2023. The 47 full papers included in the proceedings were carefully reviewed and selected from 99 submissions. The papers are divided in the following topical sections: environmental sustainability; healthcare; production systems; business and industries; logistics and transportation systems; monitor, control, and theoretical systems.
Intelligent Robots And Systems
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Author : V. Graefe
language : en
Publisher: Elsevier
Release Date : 1995-09-27
Intelligent Robots And Systems written by V. Graefe and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-09-27 with Technology & Engineering categories.
Of the 300 papers presented during IROS '94, 48 were selected because they are particularly significant and characteristic for the present state of the technology of intelligent robots and systems. This book contains the selected papers in a revised and expanded form.Robotics and intelligent systems constitute a very wide and truly interdisciplinary field. The papers have been grouped into the following categories:– Sensing and Perception – Learning and Planning– Manipulation– Telerobotics and Space Robotics– Multiple Robots– Legged Locomotion– Mobile Robot Systems– Robotics in MedicineOther additional fields covered include; control, navigation and simulation. Since many researchers in robotics are now apparently interested in some combination of learning, mobile robots and robot vision, most of the articles included relate to at least one of these fields.
Dynamic Neural Networks For Robot Systems Data Driven And Model Based Applications
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Author : Long Jin
language : en
Publisher: Frontiers Media SA
Release Date : 2024-07-24
Dynamic Neural Networks For Robot Systems Data Driven And Model Based Applications written by Long Jin and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Science categories.
Neural network control has been a research hotspot in academic fields due to the strong ability of computation. One of its wildly applied fields is robotics. In recent years, plenty of researchers have devised different types of dynamic neural network (DNN) to address complex control issues in robotics fields in reality. Redundant manipulators are no doubt indispensable devices in industrial production. There are various works on the redundancy resolution of redundant manipulators in performing a given task with the manipulator model information known. However, it becomes knotty for researchers to precisely control redundant manipulators with unknown model to complete a cyclic-motion generation CMG task, to some extent. It is worthwhile to investigate the data-driven scheme and the corresponding novel dynamic neural network (DNN), which exploits learning and control simultaneously. Therefore, it is of great significance to further research the special control features and solve challenging issues to improve control performance from several perspectives, such as accuracy, robustness, and solving speed.