Natural Language Understanding And Cognitive Robotics

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Natural Language Understanding and Cognitive Robotics

Masao Yokota
Natural Language Understanding and Cognitive Robotics Book PDF

Author : Masao Yokota
Publisher : CRC Press
Page : 204 pages
File Size : 49,5 Mb
Release : 2019-12-06
Category : Technology & Engineering
ISBN : 9781000733051

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Natural Language Understanding and Cognitive Robotics by Masao Yokota Pdf

In the not so distant future, we can expect a world where humans and robots coexist and interact with each other. For this to occur, we need to understand human traits, such as seeing, hearing, thinking, speaking, etc., and institute these traits in robots. The most essential feature necessary for robots to achieve is that of integrative multimedia understanding (IMU) which occurs naturally in humans. It allows us to assimilate pieces of information expressed through different modes such as speech, pictures, gestures, etc. The book describes how robots acquire traits like natural language understanding (NLU) as the central part of IMU. Mental image directed semantic theory (MIDST) is its core, and is based on the hypothesis that NLU is essentially the processing of mental image associated with natural language expressions, namely, mental-image based understanding (MBU). MIDST is intended to model omnisensory mental image in human and to afford a knowledge representation system in order for integrative management of knowledge subjective to cognitive mechanisms of intelligent entities such as humans and robots based on a mental image model visualized as ‘Loci in Attribute Spaces’ and its description language Lmd (mental image description language) to be employed for predicate logic with a systematic scheme for symbol-grounding. This language works as an interlingua among various kinds of information media, and has been applied to several versions of the intelligent system interlingual understanding model aiming at general system (IMAGES). Its latest version, i.e. conversation management system (CMS) simulates MBU and comprehends the user’s intention through dialogue to find and solve problems, and finally, provides a response in text or animation. The book is aimed at researchers and students interested in artificial intelligence, robotics, and cognitive science. Based on philosophical considerations, the methodology will also have an appeal in linguistics, psychology, ontology, geography, and cartography. Key Features: Describes the methodology to provide robots with human-like capability of natural language understanding (NLU) as the central part of IMU Uses methodology that also relates to linguistics, psychology, ontology, geography, and cartography Examines current trends in machine translation

Cognitive Computing for Human-Robot Interaction

Mamta Mittal,Rajiv Ratn Shah,Sudipta Roy
Cognitive Computing for Human Robot Interaction Book PDF

Author : Mamta Mittal,Rajiv Ratn Shah,Sudipta Roy
Publisher : Academic Press
Page : 420 pages
File Size : 41,6 Mb
Release : 2021-08-13
Category : Computers
ISBN : 9780323856478

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Cognitive Computing for Human-Robot Interaction by Mamta Mittal,Rajiv Ratn Shah,Sudipta Roy Pdf

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

Cognitive Robotics

Angelo Cangelosi,Minoru Asada
Cognitive Robotics Book PDF

Author : Angelo Cangelosi,Minoru Asada
Publisher : MIT Press
Page : 497 pages
File Size : 45,8 Mb
Release : 2022-05-17
Category : Technology & Engineering
ISBN : 9780262046831

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Cognitive Robotics by Angelo Cangelosi,Minoru Asada Pdf

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.

Artificial Vision and Language Processing for Robotics

Álvaro Morena Alberola,Gonzalo Molina Gallego,Unai Garay Maestre
Artificial Vision and Language Processing for Robotics Book PDF

Author : Álvaro Morena Alberola,Gonzalo Molina Gallego,Unai Garay Maestre
Publisher : Packt Publishing Ltd
Page : 356 pages
File Size : 48,5 Mb
Release : 2019-04-30
Category : Computers
ISBN : 9781838557669

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Artificial Vision and Language Processing for Robotics by Álvaro Morena Alberola,Gonzalo Molina Gallego,Unai Garay Maestre Pdf

Create end-to-end systems that can power robots with artificial vision and deep learning techniques Key FeaturesStudy ROS, the main development framework for robotics, in detailLearn all about convolutional neural networks, recurrent neural networks, and roboticsCreate a chatbot to interact with the robotBook Description Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video. By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment. What you will learnExplore the ROS and build a basic robotic systemUnderstand the architecture of neural networksIdentify conversation intents with NLP techniquesLearn and use the embedding with Word2Vec and GloVeBuild a basic CNN and improve it using generative modelsUse deep learning to implement artificial intelligence(AI)and object recognitionDevelop a simple object recognition system using CNNsIntegrate AI with ROS to enable your robot to recognize objectsWho this book is for Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus.

Natural Language Processing and Information Systems

Max Silberztein,Faten Atigui,Elena Kornyshova,Elisabeth Métais,Farid Meziane
Natural Language Processing and Information Systems Book PDF

Author : Max Silberztein,Faten Atigui,Elena Kornyshova,Elisabeth Métais,Farid Meziane
Publisher : Springer
Page : 514 pages
File Size : 43,7 Mb
Release : 2018-05-24
Category : Computers
ISBN : 9783319919478

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Natural Language Processing and Information Systems by Max Silberztein,Faten Atigui,Elena Kornyshova,Elisabeth Métais,Farid Meziane Pdf

This book constitutes the refereed proceedings of the 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, held in Paris, France, in June 2018. The 18 full papers, 26 short papers, and 9 poster papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections: Opinion Mining and Sentiment Analysis in Social Media; Semantics-Based Models and Applications; Neural Networks Based Approaches; Ontology Engineering; NLP; Text Similarities and Plagiarism Detection; Text Classification; Information Mining; Recommendation Systems; Translation and Foreign Language Querying; Software Requirement and Checking.

Neural Network Perspectives on Cognition and Adaptive Robotics

A Browne
Neural Network Perspectives on Cognition and Adaptive Robotics Book PDF

Author : A Browne
Publisher : CRC Press
Page : 285 pages
File Size : 49,7 Mb
Release : 2019-08-20
Category : Mathematics
ISBN : 9781000716122

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Neural Network Perspectives on Cognition and Adaptive Robotics by A Browne Pdf

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.

Cognitive Robotics

Angelo Cangelosi,Minoru Asada
Cognitive Robotics Book PDF

Author : Angelo Cangelosi,Minoru Asada
Publisher : MIT Press
Page : 497 pages
File Size : 44,8 Mb
Release : 2022-05-17
Category : Technology & Engineering
ISBN : 9780262369336

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Cognitive Robotics by Angelo Cangelosi,Minoru Asada Pdf

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.

Cognitively Inspired Natural Language Processing

Abhijit Mishra,Pushpak Bhattacharyya
Cognitively Inspired Natural Language Processing Book PDF

Author : Abhijit Mishra,Pushpak Bhattacharyya
Publisher : Springer
Page : 174 pages
File Size : 41,6 Mb
Release : 2018-08-01
Category : Computers
ISBN : 9789811315169

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Cognitively Inspired Natural Language Processing by Abhijit Mishra,Pushpak Bhattacharyya Pdf

This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing. The authors employ eye-tracking technology to record and analyze shallow cognitive information in the form of gaze patterns of readers/annotators who perform language processing tasks. The insights gained from such measures are subsequently translated into systems that help us (1) assess the actual cognitive load in text annotation, with resulting increase in human text-annotation efficiency, and (2) extract cognitive features that, when added to traditional features, can improve the accuracy of text classifiers. In sum, the authors’ work successfully demonstrates that cognitive information gleaned from human eye-movement data can benefit modern NLP. Currently available Natural Language Processing (NLP) systems are weak AI systems: they seek to capture the functionality of human language processing, without worrying about how this processing is realized in human beings’ hardware. In other words, these systems are oblivious to the actual cognitive processes involved in human language processing. This ignorance, however, is NOT bliss! The accuracy figures of all non-toy NLP systems saturate beyond a certain point, making it abundantly clear that “something different should be done.”

Deep Learning for Robot Perception and Cognition

Alexandros Iosifidis,Anastasios Tefas
Deep Learning for Robot Perception and Cognition Book PDF

Author : Alexandros Iosifidis,Anastasios Tefas
Publisher : Academic Press
Page : 638 pages
File Size : 47,8 Mb
Release : 2022-02-04
Category : Computers
ISBN : 9780323885720

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Deep Learning for Robot Perception and Cognition by Alexandros Iosifidis,Anastasios Tefas Pdf

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

Artificial Intelligence for Robotics

Francis X. Govers
Artificial Intelligence for Robotics Book PDF

Author : Francis X. Govers
Publisher : Packt Publishing Ltd
Page : 336 pages
File Size : 47,6 Mb
Release : 2018-08-30
Category : Computers
ISBN : 9781788835701

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Artificial Intelligence for Robotics by Francis X. Govers Pdf

Bring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book DescriptionArtificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot’s intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics.

Assistive Technology and Artificial Intelligence

Vibhu O. Mittal
Assistive Technology and Artificial Intelligence Book PDF

Author : Vibhu O. Mittal
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 51,5 Mb
Release : 1998-07-15
Category : Computers
ISBN : 3540647902

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Assistive Technology and Artificial Intelligence by Vibhu O. Mittal Pdf

This book constitutes a carefully arranged selection of revised papers on assistive technology, first presented at related AAAI workshops between 1995 and 1998. The book is devoted to the advancement and use of AI stimulated technology that can help users extend their current range of cognitive and sensory abilities or overcome their motor disabilities. Among various issues in the interdisciplinary area of assistive technology, the papers address topics from natural language processing, planning, robotics, user interface design, computer vision, and learning.

Behavioral and Cognitive Robotics: An adaptive perspective

Stefano Nolfi
Behavioral and Cognitive Robotics An adaptive perspective Book PDF

Author : Stefano Nolfi
Publisher : Stefano Nolfi
Page : 275 pages
File Size : 46,5 Mb
Release : 2021-01-15
Category : Technology & Engineering
ISBN : 9791220082372

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Behavioral and Cognitive Robotics: An adaptive perspective by Stefano Nolfi Pdf

This book describes how to create robots capable to develop the behavioral and cognitive skills required to perform a task through machine learning methods. It focuses on model-free approaches with minimal human intervention in which the behavior used by the robots to solve their task and the way in which such behavior is produced is discovered by the adaptive process automatically, i.e. it is not specified by the experimenter. The book, which is targeted toward researchers, PhD and Master students with an interest in machine learning and robotics: (i) introduces autonomous robots, evolutionary algorithms, reinforcement learning algorithms, and learning by demonstration methods, (ii) uses concrete experiments to illustrate the fundamental aspects of embodied intelligence, (iii) provides theoretical and practical knowledge, including tutorials and exercises, and (iv) provides an integrated review of recent research in this area carried within partially separated research communities.

Robot Brains

Pentti O. Haikonen
Robot Brains Book PDF

Author : Pentti O. Haikonen
Publisher : John Wiley & Sons
Page : 224 pages
File Size : 54,9 Mb
Release : 2007-09-27
Category : Technology & Engineering
ISBN : 0470517867

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Robot Brains by Pentti O. Haikonen Pdf

Haikonen envisions autonomous robots that perceive and understand the world directly, acting in it in a natural human-like way without the need of programs and numerical representation of information. By developing higher-level cognitive functions through the power of artificial associative neuron architectures, the author approaches the issues of machine consciousness. Robot Brains expertly outlines a complete system approach to cognitive machines, offering practical design guidelines for the creation of non-numeric autonomous creative machines. It details topics such as component parts and realization principles, so that different pieces may be implemented in hardware or software. Real-world examples for designers and researchers are provided, including circuit and systems examples that few books on this topic give. In novel technical and practical detail, this book also considers: the limitations and remedies of traditional neural associators in creating true machine cognition; basic circuit assemblies cognitive neural architectures; how motors can be interfaced with the associative neural system in order for fluent motion to be achieved without numeric computations; memorization, imagination, planning and reasoning in the machine; the concept of machine emotions for motivation and value systems; an approach towards the use and understanding of natural language in robots. The methods presented in this book have important implications for computer vision, signal processing, speech recognition and other information technology fields. Systematic and thoroughly logical, it will appeal to practising engineers involved in the development and design of robots and cognitive machines, also researchers in Artificial Intelligence. Postgraduate students in computational neuroscience and robotics, and neuromorphic engineers will find it an exciting source of information.

A Knowledge Representation Practionary

Michael K. Bergman
A Knowledge Representation Practionary Book PDF

Author : Michael K. Bergman
Publisher : Springer
Page : 462 pages
File Size : 53,9 Mb
Release : 2018-12-12
Category : Computers
ISBN : 9783319980928

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A Knowledge Representation Practionary by Michael K. Bergman Pdf

This major work on knowledge representation is based on the writings of Charles S. Peirce, a logician, scientist, and philosopher of the first rank at the beginning of the 20th century. This book follows Peirce's practical guidelines and universal categories in a structured approach to knowledge representation that captures differences in events, entities, relations, attributes, types, and concepts. Besides the ability to capture meaning and context, the Peircean approach is also well-suited to machine learning and knowledge-based artificial intelligence. Peirce is a founder of pragmatism, the uniquely American philosophy. Knowledge representation is shorthand for how to represent human symbolic information and knowledge to computers to solve complex questions. KR applications range from semantic technologies and knowledge management and machine learning to information integration, data interoperability, and natural language understanding. Knowledge representation is an essential foundation for knowledge-based AI. This book is structured into five parts. The first and last parts are bookends that first set the context and background and conclude with practical applications. The three main parts that are the meat of the approach first address the terminologies and grammar of knowledge representation, then building blocks for KR systems, and then design, build, test, and best practices in putting a system together. Throughout, the book refers to and leverages the open source KBpedia knowledge graph and its public knowledge bases, including Wikipedia and Wikidata. KBpedia is a ready baseline for users to bridge from and expand for their own domain needs and applications. It is built from the ground up to reflect Peircean principles. This book is one of timeless, practical guidelines for how to think about KR and to design knowledge management (KM) systems. The book is grounded bedrock for enterprise information and knowledge managers who are contemplating a new knowledge initiative. This book is an essential addition to theory and practice for KR and semantic technology and AI researchers and practitioners, who will benefit from Peirce's profound understanding of meaning and context.

Human-Robot Interaction

Gholamreza Anbarjafari,Sergio Escalera
Human Robot Interaction Book PDF

Author : Gholamreza Anbarjafari,Sergio Escalera
Publisher : BoD – Books on Demand
Page : 186 pages
File Size : 54,7 Mb
Release : 2018-07-04
Category : Computers
ISBN : 9781789233162

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Human-Robot Interaction by Gholamreza Anbarjafari,Sergio Escalera Pdf

This book takes the vocal and visual modalities and human-robot interaction applications into account by considering three main aspects, namely, social and affective robotics, robot navigation, and risk event recognition. This book can be a very good starting point for the scientists who are about to start their research work in the field of human-robot interaction.