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丛书名： Lecture Notes in computer Science

1000年

作者： Shuzhi Sam Ge Haizhou Li John-John Cabibihan Yeow Kee Tan

ISBN: (数字)9783642172489

ISBN: (纸本)9783642172472

The papers in this volume were the fruitful scientific results of the Second International Conference on Social robotics (ICSR), held during November 23–24, 2010 in Singapore, which was jointly organized by the Social robotics laboratory (SRL), Interactive Digital Media Institute (IDMI), the National University of Singapore and 2 Human Language Technology department, the Institute for Infocomm research (I R), A*STAR, Singapore. These papers address a range of topics in social robotics and its applications. We received paper submissions from America, Asia, and Europe. All the papers were reviewed by at least three referees from the 32-member Program Committee who were assembled from the global community of social robotics researchers. This v- ume contains the 42 papers that were selected to report on the latest developments and studies of social robotics in the areas of human––robot interaction; affective and cognitive sciences for interactive robots; design philosophies and software archit- tures for robots; learning, adaptation and evolution of robotic intelligence; and mec- tronics and intelligent control.

关键词： Artificial Intelligence User Interfaces and Human computer Interaction computers and Society computer Appl. in Social and Behavioral Sciences computer Imaging, vision, Pattern Recognition and Graphics Special Purpose and Application-Based Systems

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Manufacturing Systems Control Design 1

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丛书名： Advances in Industrial Control

1000年

作者： Stjepan Bogdan Zdenko Kovačić Frank L. Lewis José Mireles

ISBN: (数字)9781846283345

ISBN: (纸本)9781852339821;9781849969895

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. In some areas of manufacturing, the elements of a flexible manufacturing system form the key components of the process line. These key components are four-fold: a set of programmable robots and machines, an automated materia- handling system that allows parts to be freely routed and re-routed, a buffer storage system where parts and partly-assembled components can wait until required for further processing and assembly and finally, a supervisory control system. The technology employed to coordinate and control all these components as a working system is usually based on programmable logic controllers. The use of this automation hardware and software in manufacturing is designed to yield significant cost reductions and to enhance quality.

关键词： Control and Systems Theory Industrial and Production engineering Manufacturing, Machines, Tools, Processes Simulation and Modeling Linear and Multilinear Algebras, Matrix Theory Industrial Organization

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Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games 1

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丛书名： Advances in Industrial Control

1000年

作者： Bosen Lian Wenqian Xue Frank L. Lewis Hamidreza Modares Bahare Kiumarsi

ISBN: (数字)9783031452529

ISBN: (纸本)9783031452512;9783031452543

Graduate students will find that this book offers a thorough introduction to integral and inverse RL for feedback control related to optimal regulation and tracking, disturbance rejection, and multiplayer and multiagent systems. For researchers, it provides a combination of theoretical analysis, rigorous algorithms, and a wide-ranging selection of examples. The book equips practitioners working in various domains – aircraft, robotics, power systems, and communication networks among them – with theoretical insights valuable in tackling the real-world challenges they face.

关键词： Control and Systems Theory Mathematical and Computational engineering Computational Intelligence Automotive engineering

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Advances in Neuro-Information Processing 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Mario Köppen Nikola Kasabov George Coghill

ISBN: (数字)9783642024900

ISBN: (纸本)9783642024894

The two volume set LNCS 5506 and LNCS 5507 constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Neural Information Processing, ICONIP 2008, held in Auckland, New Zealand, in November 2008. The 260 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. 116 papers are published in the first volume and 112 in the second volume. The contributions deal with topics in the areas of data mining methods for cybersecurity, computational models and their applications to machine learning and pattern recognition, lifelong incremental learning for intelligent systems, application of intelligent methods in ecological informatics, pattern recognition from real-world information by svm and other sophisticated techniques, dynamics of neural networks, recent advances in brain-inspired technologies for robotics, neural information processing in cooperative multi-robot systems.

关键词： computer Communication Networks Computation by Abstract Devices Artificial Intelligence Models and Principles Special Purpose and Application-Based Systems Simulation and Modeling

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Advances in Neuro-Information Processing 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Mario Köppen Nikola Kasabov George Coghill

ISBN: (数字)9783642030406

ISBN: (纸本)9783642030390

关键词： computer Communication Networks Computation by Abstract Devices Artificial Intelligence Models and Principles Special Purpose and Application-Based Systems Simulation and Modeling

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Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies

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Control, robotics, and Autonomous Systems 1000年第1期6卷 123-158页

作者： Bin Hu Kaiqing Zhang Na Li Mehran Mesbahi Maryam Fazel Tamer Başar 1Coordinated Science Laboratory and Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana Illinois USA email: binhu7@illinois.edubasar1@illinois.edu 3Current affiliation: Department of Electrical and Computer Engineering and Institute for Systems Research University of Maryland College Park Maryland USA email: kaiqing@umd.edu 2Laboratory for Information and Decision Systems and Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge Massachusetts USA 4School of Engineering and Applied Sciences Harvard University Cambridge Massachusetts USA email: nali@seas.harvard.edu 5Department of Aeronautics and Astronautics University of Washington Seattle Washington USA email: mesbahi@uw.edu 6Department of Electrical and Computer Engineering University of Washington Seattle Washington USA email: mfazel@uw.edu

Gradient-based methods have been widely used for system design and optimization in diverse application domains. Recently, there has been a renewed interest in studying theoretical properties of these methods in the context of control and reinforcement learning. This article surveys some of the recent developments on policy optimization, a gradient-based iterative approach for feedback control synthesis that has been popularized by successes of reinforcement learning. We take an interdisciplinary perspective in our exposition that connects control theory, reinforcement learning, and large-scale optimization. We review a number of recently developed theoretical results on the optimization landscape, global convergence, and sample complexityof gradient-based methods for various continuous control problems, such as the linear quadratic regulator (LQR), control, risk-sensitive control, linear quadratic Gaussian (LQG) control, and output feedback synthesis. In conjunction with these optimization results, we also discuss how direct policy optimization handles stability and robustness concerns in learning-based control, two main desiderata in control engineering. We conclude the survey by pointing out several challenges and opportunities at the intersection of learning and control.

关键词： policy optimization reinforcement learning feedback control synthesis

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computer vision – ACCV 2012 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Kyoung Mu Lee Yasuyuki Matsushita James M. Rehg Zhanyi Hu

ISBN: (数字)9783642374449

ISBN: (纸本)9783642374432

The four-volume set LNCS 7724--7727 constitutes the thoroughly refereed post-conference proceedings of the 11th Asian Conference on computer vision, ACCV 2012, held in Daejeon, Korea, in November 2012. The total of 226 contributions presented in these volumes was carefully reviewed and selected from 869 submissions. The papers are organized in topical sections on object detection, learning and matching; object recognition; feature, representation, and recognition; segmentation, grouping, and classification; image representation; image and video retrieval and medical image analysis; face and gesture analysis and recognition; optical flow and tracking; motion, tracking, and computational photography; video analysis and action recognition; shape reconstruction and optimization; shape from X and photometry; applications of computer vision; low-level vision and applications of computer vision.

关键词： Image Processing and computer vision Pattern Recognition Artificial Intelligence Health Informatics

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Fuzzy Logic in Intelligent System Design 1

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丛书名： Advances in Intelligent Systems and Computing

1000年

作者： Patricia Melin Oscar Castillo Janusz Kacprzyk Marek Reformat William Melek

ISBN: (数字)9783319671376

ISBN: (纸本)9783319671369

This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing newnature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models

关键词： Computational Intelligence Artificial Intelligence

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Unleashing Creativity in the Metaverse: Generative AI and Multimodal Content

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ACM Transactions on Multimedia Computing, Communications, and Applications 1000年

作者： Abdulmotaleb El Saddik Jamil Ahmad Mustaqeem Khan Saad Abouzahir Wail Gueaieb MBZUAI & Multimedia Communication Research Laboratory (MCRLab) University of Ottawa Canada Department of Computer Science & Software Engineering United Arab Emirates University UAE Department of Computer Vision Mohamed Bin Zayed University of Artificial Intelligence UAE School of Electrical Engineering and Computer Science University of Ottawa Canada

The Metaverse presents an emerging creative expression and collaboration frontier where generative artificial intelligence (GenAI) can play a pivotal role with its ability to generate multimodal content from simple prompts. These prompts allow the metaverse to interact with GenAI, where context information, instructions, input data, or even output indications constituting the prompt can come from within the metaverse. However, their integration poses challenges regarding interoperability, lack of standards, scalability, and maintaining a high-quality user experience. This paper explores how GenAI can productively assist in enhancing creativity within the contexts of the Metaverse and unlock new opportunities. We provide a technical, in-depth overview of the different generative models for image, video, audio, and 3D content within the Metaverse environments. We also explore the bottlenecks, opportunities, and innovative applications of GenAI from the perspectives of end users, developers, service providers, and AI researchers. This survey commences by highlighting the potential of GenAI for enhancing the Metaverse experience through dynamic content generation to populate massive virtual worlds. Subsequently, we shed light on the ongoing research practices and trends in multimodal content generation, enhancing realism and creativity and alleviating bottlenecks related to standardization, computational cost, privacy, and safety. Lastly, we share insights into promising research directions toward the integration of GenAI with the Metaverse for creative enhancement, improved immersion, and innovative interactive applications.

关键词： Generative AI Metaverse Diffusion Models Generative Adversarial Networks Multimodal Content Generation

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Multiple Classifier Systems 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Nikunj C. Oza Robi Polikar Josef Kittler Fabio Roli

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