Deep Learning For Robot Perception And Cognition

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Deep Learning for Robot Perception and Cognition

Author : Alexandros Iosifidis
Publisher : Academic Press
ISBN 13 : 0323885721
Total Pages : 638 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Deep Learning for Robot Perception and Cognition by : Alexandros Iosifidis

Download or read book Deep Learning for Robot Perception and Cognition written by Alexandros Iosifidis and published by Academic Press. This book was released on 2022-02-04 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. Presents deep learning principles and methodologies Explains the principles of applying end-to-end learning in robotics applications Presents how to design and train deep learning models Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more Uses robotic simulation environments for training deep learning models Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Cognitive Robotics

Author : Angelo Cangelosi
Publisher : MIT Press
ISBN 13 : 0262369338
Total Pages : 497 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Cognitive Robotics by : Angelo Cangelosi

Download or read book Cognitive Robotics written by Angelo Cangelosi and published by MIT Press. This book was released on 2022-05-17 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current state of the art in cognitive robotics, covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems. A novel approach to building AI-powered intelligent robots takes inspiration from the way natural cognitive systems—in humans, animals, and biological systems—develop intelligence by exploiting the full power of interactions between body and brain, the physical and social environment in which they live, and phylogenetic, developmental, and learning dynamics. This volume reports on the current state of the art in cognitive robotics, offering the first comprehensive coverage of building robots inspired by natural cognitive systems. Contributors first provide a systematic definition of cognitive robotics and a history of developments in the field. They describe in detail five main approaches: developmental, neuro, evolutionary, swarm, and soft robotics. They go on to consider methodologies and concepts, treating topics that include commonly used cognitive robotics platforms and robot simulators, biomimetic skin as an example of a hardware-based approach, machine-learning methods, and cognitive architecture. Finally, they cover the behavioral and cognitive capabilities of a variety of models, experiments, and applications, looking at issues that range from intrinsic motivation and perception to robot consciousness. Cognitive Robotics is aimed at an interdisciplinary audience, balancing technical details and examples for the computational reader with theoretical and experimental findings for the empirical scientist.

Machine Learning and Robot Perception

Author : Bruno Apolloni
Publisher : Springer Science & Business Media
ISBN 13 : 9783540265498
Total Pages : 370 pages
Book Rating : 4.2/5 (654 download)

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Book Synopsis Machine Learning and Robot Perception by : Bruno Apolloni

Download or read book Machine Learning and Robot Perception written by Bruno Apolloni and published by Springer Science & Business Media. This book was released on 2005-09-14 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.

Cognitive Robotics

Author : Angelo Cangelosi
Publisher : MIT Press
ISBN 13 : 0262046830
Total Pages : 497 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Cognitive Robotics by : Angelo Cangelosi

Machine Learning Methods for High-Level Cognitive Capabilities in Robotics

Author : Emre Ugur
Publisher : Frontiers Media SA
ISBN 13 : 288963261X
Total Pages : 149 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Machine Learning Methods for High-Level Cognitive Capabilities in Robotics by : Emre Ugur

Download or read book Machine Learning Methods for High-Level Cognitive Capabilities in Robotics written by Emre Ugur and published by Frontiers Media SA. This book was released on 2019-12-24 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Recent Advances in Robot Learning

Author : Judy A. Franklin
Publisher : Springer Science & Business Media
ISBN 13 : 1461304717
Total Pages : 218 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Recent Advances in Robot Learning by : Judy A. Franklin

Download or read book Recent Advances in Robot Learning written by Judy A. Franklin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation. While no unified robot learning framework has yet emerged to cover the variety of problems and approaches described in these papers and other publications, a clear set of shared issues underlies many robot learning problems. Machine learning, when applied to robotics, is situated: it is embedded into a real-world system that tightly integrates perception, decision making and execution. Since robot learning involves decision making, there is an inherent active learning issue. Robotic domains are usually complex, yet the expense of using actual robotic hardware often prohibits the collection of large amounts of training data. Most robotic systems are real-time systems. Decisions must be made within critical or practical time constraints. These characteristics present challenges and constraints to the learning system. Since these characteristics are shared by other important real-world application domains, robotics is a highly attractive area for research on machine learning. On the other hand, machine learning is also highly attractive to robotics. There is a great variety of open problems in robotics that defy a static, hand-coded solution. Recent Advances in Robot Learning is an edited volume of peer-reviewed original research comprising seven invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 23, Numbers 2 and 3).

Neural Network Perspectives on Cognition and Adaptive Robotics

Author : A Browne
Publisher : CRC Press
ISBN 13 : 1000716120
Total Pages : 285 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Neural Network Perspectives on Cognition and Adaptive Robotics by : A Browne

Download or read book Neural Network Perspectives on Cognition and Adaptive Robotics written by A Browne and published by CRC Press. This book was released on 2019-08-20 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to the modeling of human cognition and language using neural computing techniques. It also describes how adaptive robotic systems can be produced using neural network architectures. Covering a wide range of mainstream area and trends, each chapter provides the latest information from a different perspective.

Advances in Mechanism and Machine Science

Author : Tadeusz Uhl
Publisher : Springer
ISBN 13 : 3030201317
Total Pages : 4248 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Advances in Mechanism and Machine Science by : Tadeusz Uhl

Download or read book Advances in Mechanism and Machine Science written by Tadeusz Uhl and published by Springer. This book was released on 2019-06-13 with total page 4248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the 15th IFToMM World Congress, which was held in Krakow, Poland, from June 30 to July 4, 2019. Having been organized every four years since 1965, the Congress represents the world’s largest scientific event on mechanism and machine science (MMS). The contributions cover an extremely diverse range of topics, including biomechanical engineering, computational kinematics, design methodologies, dynamics of machinery, multibody dynamics, gearing and transmissions, history of MMS, linkage and mechanical controls, robotics and mechatronics, micro-mechanisms, reliability of machines and mechanisms, rotor dynamics, standardization of terminology, sustainable energy systems, transportation machinery, tribology and vibration. Selected by means of a rigorous international peer-review process, they highlight numerous exciting advances and ideas that will spur novel research directions and foster new multidisciplinary collaborations.

Machine Learning And Perception

Author : Guido Tascini
Publisher : World Scientific
ISBN 13 : 9814547921
Total Pages : 218 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Machine Learning And Perception by : Guido Tascini

Download or read book Machine Learning And Perception written by Guido Tascini and published by World Scientific. This book was released on 1996-05-06 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: As perception stands for the acquisition of a real world representation by interaction with an environment, learning is the modification of this internal representation.This book highlights the relation between perception and learning and describes the influence of the learning in the interaction with the environment.Besides, this volume contains a series of applications of both machine learning and perception, where the former is often embedded in the latter and vice-versa.Among the topics covered, there are visual perception for autonomous robots, model generation of visual patterns, attentional reasoning, genetic approaches and various categories of neural networks.

Cognitive Computing for Human-Robot Interaction

Author : Mamta Mittal
Publisher : Academic Press
ISBN 13 : 0323856470
Total Pages : 420 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Cognitive Computing for Human-Robot Interaction by : Mamta Mittal

Download or read book Cognitive Computing for Human-Robot Interaction written by Mamta Mittal and published by Academic Press. This book was released on 2021-08-13 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: Introduces several new contributions to the representation and management of humans in autonomous robotic systems; Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; Engages with the potential repercussions of cognitive computing and HRI in the real world. Introduces several new contributions to the representation and management of humans in an autonomous robotic system Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario

Machine Learning for Complex and Unmanned Systems

Author : Jose Martinez-Carranza
Publisher : CRC Press
ISBN 13 : 1003827438
Total Pages : 386 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Machine Learning for Complex and Unmanned Systems by : Jose Martinez-Carranza

Download or read book Machine Learning for Complex and Unmanned Systems written by Jose Martinez-Carranza and published by CRC Press. This book was released on 2024-02-21 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and discussing their development and hardware/software implementation. The book includes two parts: the first one collects machine learning applications in complex systems, mainly discussing developments highlighting their modeling and simulation, and hardware implementation. The second part collects applications of machine learning in unmanned systems including optimization and case studies in submarines, drones, and robots. The chapters discuss miscellaneous applications required by both complex and unmanned systems, in the areas of artificial intelligence, cryptography, embedded hardware, electronics, the Internet of Things, and healthcare. Each chapter provides guidelines and details of different methods that can be reproduced in hardware/software and discusses future research. Features Provides details of applications using machine learning methods to solve real problems in engineering Discusses new developments in the areas of complex and unmanned systems Includes details of hardware/software implementation of machine learning methods Includes examples of applications of different machine learning methods for future lines for research in the hot topic areas of submarines, drones, robots, cryptography, electronics, healthcare, and the Internet of Things This book can be used by graduate students, industrial and academic professionals to examine real case studies in applying machine learning in the areas of modeling, simulation, and optimization of complex systems, cryptography, electronics, healthcare, control systems, Internet of Things, security, and unmanned systems such as submarines, drones, and robots.

Brain-Inspired Intelligence and Visual Perception

Author : Wenfeng Wang
Publisher : Springer
ISBN 13 : 9811335494
Total Pages : 166 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Brain-Inspired Intelligence and Visual Perception by : Wenfeng Wang

Download or read book Brain-Inspired Intelligence and Visual Perception written by Wenfeng Wang and published by Springer. This book was released on 2019-02-14 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.

Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems

Author : Yinpeng Wang
Publisher : CRC Press
ISBN 13 : 100089665X
Total Pages : 200 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems by : Yinpeng Wang

Download or read book Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems written by Yinpeng Wang and published by CRC Press. This book was released on 2023-07-06 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems. Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-LSTM, exhibiting high accuracy and efficiency. Additionally, a physics-informed DL structure along with a nonlinear mapping module are employed to obtain the space/temperature/time-related thermal conductivity via the transient temperature in Chapter 4. Finally, in Chapter 5, a series of the latest advanced frameworks and the corresponding physics applications are introduced. As deep learning techniques are experiencing vigorous development in computational physics, more people desire related reading materials. This book is intended for graduate students, professional practitioners, and researchers who are interested in DL for computational physics.

Advances in Computational Intelligence

Author : Hiram Calvo
Publisher : Springer Nature
ISBN 13 : 3031477650
Total Pages : 363 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Advances in Computational Intelligence by : Hiram Calvo

Download or read book Advances in Computational Intelligence written by Hiram Calvo and published by Springer Nature. This book was released on 2023-12-10 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 14391 and 14392 constitutes the proceedings of the 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, held in Yucatán, Mexico, in November 2023. The total of 49 papers presented in these two volumes was carefully reviewed and selected from 115 submissions. The proceedings of MICAI 2023 are published in two volumes. The first volume, Advances in Computational Intelligence, contains 24 papers structured into three sections: – Machine Learning – Computer Vision and Image Processing – Intelligent Systems The second volume, Advances in Soft Computing, contains 25 papers structured into three sections: – Natural Language Processing – Bioinformatics and Medical Applications – Robotics and Applications

Coordination Models and Languages

Author : Ilaria Castellani
Publisher : Springer Nature
ISBN 13 : 3031626974
Total Pages : 341 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Coordination Models and Languages by : Ilaria Castellani

Download or read book Coordination Models and Languages written by Ilaria Castellani and published by Springer Nature. This book was released on with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Virtual, Augmented and Mixed Reality

Author : Jessie Y. C. Chen
Publisher : Springer Nature
ISBN 13 : 303161044X
Total Pages : 332 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Virtual, Augmented and Mixed Reality by : Jessie Y. C. Chen

Download or read book Virtual, Augmented and Mixed Reality written by Jessie Y. C. Chen and published by Springer Nature. This book was released on with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:

8th International Conference on Advancements of Medicine and Health Care Through Technology

Author : Simona Vlad
Publisher : Springer Nature
ISBN 13 : 3031511204
Total Pages : 266 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis 8th International Conference on Advancements of Medicine and Health Care Through Technology by : Simona Vlad

Download or read book 8th International Conference on Advancements of Medicine and Health Care Through Technology written by Simona Vlad and published by Springer Nature. This book was released on 2024-02-09 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the 8th International Conference on Advancements of Medicine and Health Care through Technology, MEDITECH 2022, held virtually on 20–22 October 2022, from Cluj-Napoca, Romania. It reports on both theoretical and practical developments in biomedical imaging and image processing, health technology, technologies for education, and biomedical signal processing and medical devices, measurements and instrumentation. Both the conference and the realization of this book were supported by the Romanian National Society for Medical Engineering and Biological Technology (SNIMTB).