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  • Dynamic Neural Networks for Motion Control of Redundant Manipulators

    Series series Intelligent Technologies and Robotics (R0)
    This book discusses the development and application of dynamic neural networks (DNNs) for solving complex motion control problems in redundant manipulators. Specifically, it presents a series of advanced DNNs, including noise-rejection DNNs, fuzzy-parameter DNNs, and so on, which are designed to optimize performance while ensuring robustness and computational efficiency. Based on the presented ... Read more

    $152.09 USD

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  • The Science of Deep Learning

    by Iddo Drori ...
    The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning ... Read more

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  • Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection

    Series series Mathematics and Statistics (R0)
    This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies. In robotics, the ability to reason, solve their own anomalies and proactively enrich owned knowledge is a direct way to improve autonomous behaviors ... Read more

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  • AI based Robot Safe Learning and Control

    Series series Intelligent Technologies and Robotics (R0)
    This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control ... Read more

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  • Neural Networks for Cooperative Control of Multiple Robot Arms

    Series series Engineering (R0)
    This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples. It is intended for graduate students and academic and industrial researchers in the field of control, robotics, neural networks, ... Read more

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  • Robot Control and Calibration

    Innovative Control Schemes and Calibration Algorithms

    Series series Computer Science (R0)
    This book mainly shows readers how to calibrate and control robots. In this regard, it proposes three control schemes: an error-summation enhanced Newton algorithm for model predictive control; RNN for solving perturbed time-varying underdetermined linear systems; and a new joint-drift-free scheme aided with projected ZNN, which can effectively improve robot control accuracy. Moreover, the book ... Read more

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  • Advances in Neural Networks – ISNN 2025

    19th International Symposium on Neural Networks, Zhangye, China, August 22–24, 2025, Proceedings

    Edited by Long Jin, Lidan Wang ...
    Series series Springer Nature Proceedings Computer Science
    This volume constitutes the refereed proceedings of the 19th International Symposium on Neural Networks, ISNN 2025, held in Zhangye, China, during August 22–24, 2025.The 52 full papers were carefully reviewed and selected from 60 submission. They were organized in topical sections as follows: Design, Modeling and Application of AI Algorithms; Signal, Image, and Video Processing; Modeling, Analysis ... Read more

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  • Intelligent Control of Nonlinear Systems and Nonlinear Multi-Agent Systems with Complex Constraints

    Unveiling Cutting-Edge Research and Insights

    Series series Intelligent Technologies and Robotics (R0)
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  • Dynamic Network Representation Based on Latent Factorization of Tensors

    Series series Computer Science (R0)
    A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes and large-scale dynamic real-time interactions among them, where each node indicates a specified entity, each directed link indicates a real-time interaction, and the strength of an interaction can be quantified as the weight of a link. As the ... Read more

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  • Neurodynamic Methods for Continuum Robot Control

    Exploration on how neurodynamic methods can be effectively applied to control complex, flexible robotic systems in research, and real-world settingsNeurodynamic Methods for Continuum Robot Control presents a comprehensive exploration of neurodynamic control methods for continuum robots—a new generation of soft, flexible robotic systems inspired by nature. The book is organized into seven thematic ... Read more

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  • Proceedings of 2023 Chinese Intelligent Automation Conference

    Edited by Zhidong Deng ...
    Series series Springer Nature Proceedings excluding Computer Science
    The book presents selected research papers from the 2023 Chinese Intelligent Automation Conference (CIAC2023), held in Nanjing, China, on October 2-5, 2023. It covers a wide range of topics including intelligent control, robotics, artificial intelligence, pattern recognition, unmanned systems, IoT, and machine learning. It includes original research and the latest advances in the field of ... Read more

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