An in-depth review of hybrid control techniques for smart prosthetic hand technology by two of the world's pioneering experts in the field
Long considered the stuff of science fiction, a prosthetic hand capable of fully replicating all of that appendage's various functions is closer to becoming reality than ever before. This book provides a comprehensive report on exciting recent developments in hybrid control techniques--one of the most crucial hurdles to be overcome in creating smart prosthetic hands.
Coauthored by two of the world's foremost pioneering experts in the field, Fusion of Hard and Soft Control Strategies for Robotic Hand treats robotic hands for multiple applications. Itbegins withan overview of advances in main control techniques that have been made over the past decade before addressing the military context for affordable robotic hand technology with tactile and/or proprioceptive feedback for hand amputees. Kinematics, homogeneous transformations, inverse and differential kinematics, trajectory planning, and dynamic models of two-link thumb and three-link index finger are discussed in detail. The remainder of the book is devoted to the most promising soft computing techniques, particle swarm optimization techniques, and strategies combining hard and soft controls.
In addition, the book:
Includes a report on exciting new developments in prosthetic/robotic hand technology, with an emphasis on the fusion of hard and soft control strategies
Covers both prosthetic and non-prosthetic hand designs for everything from routine human operations, robotic surgery, and repair and maintenance, to hazardous materials handling, space applications, explosives disposal, and more
Provides a comprehensive overview of five-fingered robotic hand technology kinematics, dynamics, and control
Features detailed coverage of important recent developments in neuroprosthetics
Fusion of Hard and Soft Control Strategies for Robotic Hand is a must-read for researchers in control engineering, robotic engineering, biomedical sciences and engineering, and rehabilitation engineering.
Автор: Zhongliang Jing; Han Pan; Yuankai Li; Peng Dong Название: Non-Cooperative Target Tracking, Fusion and Control ISBN: 3030080811 ISBN-13(EAN): 9783030080815 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book gives a concise and comprehensive overview of non-cooperative target tracking, fusion and control. Focusing on algorithms rather than theories for non-cooperative targets including air and space-borne targets, this work explores a number of advanced techniques, including Gaussian mixture cardinalized probability hypothesis density (CPHD) filter, optimization on manifold, construction of filter banks and tight frames, structured sparse representation, and others. Containing a variety of illustrative and computational examples, Non-cooperative Target Tracking, Fusion and Control will be useful for students as well as engineers with an interest in information fusion, aerospace applications, radar data processing and remote sensing.
Автор: Lee Suk-han; Hanseok Ko; Hernsoo Hahn Название: Multisensor Fusion and Integration for Intelligent Systems ISBN: 3642100570 ISBN-13(EAN): 9783642100574 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume is aimed at engineers, researchers, educators, and advanced students in the field of Multisensor Fusion and Integration for Intelligent Systems. It includes the recent progress made in theory and applications.
Название: Multisensor data fusion ISBN: 1482263742 ISBN-13(EAN): 9781482263749 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world's leading data fusion researchers and academicians, this authoritative book:
Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors
Describes new materials and achievements in optimal fusion and multisensor filters
Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies
Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures
Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation
Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.
Автор: Ioannis Kyriakides Название: Cognitive Fusion for Target Tracking ISBN: 1681736659 ISBN-13(EAN): 9781681736655 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 36030.00 T Наличие на складе: Нет в наличии. Описание: The adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently allocating limited sensor network resources. In addition, the use of heterogeneous sensing nodes provides a diversity of information that also enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation using adaptive configuration of heterogeneous sensing nodes and heterogeneous data fusion. This work also provides an application of cognitive fusion to the sequential estimation problem of target tracking using foveal and radar sensors.
Автор: Hongbin Ma; Liping Yan; Yuanqing Xia; Mengyin Fu Название: Kalman Filtering and Information Fusion ISBN: 9811508054 ISBN-13(EAN): 9789811508059 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertainties in a single plant, and to corresponding solutions based on adaptive estimation. Further, it discusses in detail the issues that arise when Kalman filtering technology is applied in multi-sensor systems and/or multi-agent systems, especially when various sensors are used in systems like intelligent robots, autonomous cars, smart homes, smart buildings, etc., requiring multi-sensor information fusion techniques. Furthermore, when multiple agents (subsystems) interact with one another, it produces coupling uncertainties, a challenging issue that is addressed here with the aid of novel decentralized adaptive filtering techniques.
Overall, the book’s goal is to provide readers with a comprehensive investigation into the challenging problem of making Kalman filtering work well in the presence of various uncertainties and/or for multiple sensors/components. State-of-art techniques are introduced, together with a wealth of novel findings. As such, it can be a good reference book for researchers whose work involves filtering and applications; yet it can also serve as a postgraduate textbook for students in mathematics, engineering, automation, and related fields.
To read this book, only a basic grasp of linear algebra and probability theory is needed, though experience with least squares, navigation, robotics, etc. would definitely be a plus.
Автор: Sukhan Lee; Hanseok Ko; Songhwai Oh Название: Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System ISBN: 3030080307 ISBN-13(EAN): 9783030080303 Издательство: Springer Рейтинг: Цена: 144410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.
Автор: Zhang Название: Distributed Fusion Estimation for Sensor Networks with Communication Constraints ISBN: 9811007934 ISBN-13(EAN): 9789811007934 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Thisbook systematically presents energy-efficient robust fusion estimation methodsto achieve thorough and comprehensive results in the context of network-basedfusion estimation. It summarizes recent findings on fusion estimation withcommunication constraints; several novel energy-efficient and robust designmethods for dealing with energy constraints and network-induced uncertaintiesare presented, such as delays, packet losses, and asynchronous information...All the results are presented as algorithms, which are convenient for practicalapplications.
Автор: Lee Название: Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System ISBN: 3319905082 ISBN-13(EAN): 9783319905082 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.
Автор: Spider.Money Название: Dot Drawing: A Fusion of Stippling and Ornament ISBN: 0764358537 ISBN-13(EAN): 9780764358531 Издательство: Schiffer Рейтинг: Цена: 31450.00 T Наличие на складе: Поставка под заказ. Описание: Explore how dot drawing can bring new style to your work, from lettering to nature subjects, and everything in between. Also known as “stippling,” the dot-drawing technique is similar stylistically to pointillism. With the instructions and projects in Dot Drawing, you will create pictures consisting of patterns of dots that are shaded in intensity and placement to give lifelike shape, form, and depth. Artists specializing in all styles can benefit from dot drawing, since—although the name sounds so simple—the technique requires a solid knowledge and understanding of the balance between positive and negative space. Start by learning about the best materials and techniques, including dos and don’ts. Make your dot drawings more realistic by understanding light, controlling your pen, and blending. Then, guided photos lead you through projects step by step. There are 10 projects to explore and play with in each of 4 categories: lettering, natural motifs, illustration, and tattoo art.
Автор: Messina, Arturo Rom?n Название: Data Fusion and Data Mining for Power System Monitoring ISBN: 0367333678 ISBN-13(EAN): 9780367333676 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Невозможна поставка. Описание: This book provides a comprehensive treatment of advanced data fusion and data mining techniques for power system monitoring with focus on use of synchronized phasor networks. Relevant statistical data mining techniques are given, and efficient methods to cluster and visualize data collected from multiple sensors are discussed with examples.
Название: Hyperspectral Image Fusion ISBN: 1461474698 ISBN-13(EAN): 9781461474692 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Hyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images.
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