Language Grounding In Robots
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Language Grounding In Robots
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Author : Luc Steels
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-14
Language Grounding In Robots written by Luc Steels and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-14 with Computers categories.
Written by leading international experts, this volume presents contributions establishing the feasibility of human language-like communication with robots. The book explores the use of language games for structuring situated dialogues in which contextualized language communication and language acquisition can take place. Within the text are integrated experiments demonstrating the extensive research which targets artificial language evolution. Language Grounding in Robots uses the design layers necessary to create a fully operational communicating robot as a framework for the text, focusing on the following areas: Embodiment; Behavior; Perception and Action; Conceptualization; Language Processing; Whole Systems Experiments. This book serves as an excellent reference for researchers interested in further study of artificial language evolution.
Language Grounding In Robots
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Author : Luc Steels
language : en
Publisher: Springer
Release Date : 2014-04-16
Language Grounding In Robots written by Luc Steels and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-16 with Computers categories.
Written by leading international experts, this volume presents contributions establishing the feasibility of human language-like communication with robots. The book explores the use of language games for structuring situated dialogues in which contextualized language communication and language acquisition can take place. Within the text are integrated experiments demonstrating the extensive research which targets artificial language evolution. Language Grounding in Robots uses the design layers necessary to create a fully operational communicating robot as a framework for the text, focusing on the following areas: Embodiment; Behavior; Perception and Action; Conceptualization; Language Processing; Whole Systems Experiments. This book serves as an excellent reference for researchers interested in further study of artificial language evolution.
The Evolution Of Grounded Spatial Language
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Author : Michael Spranger
language : en
Publisher: Language Science Press
Release Date : 2016-06-15
The Evolution Of Grounded Spatial Language written by Michael Spranger and has been published by Language Science Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-15 with Language Arts & Disciplines categories.
This book presents groundbreaking robotic experiments on how and why spatial language evolves. It provides detailed explanations of the origins of spatial conceptualization strategies, spatial categories, landmark systems and spatial grammar by tracing the interplay of environmental conditions, communicative and cognitive pressures. The experiments discussed in this book go far beyond previous approaches in grounded language evolution. For the first time, agents can evolve not only particular lexical systems but also evolve complex conceptualization strategies underlying the emergence of category systems and compositional semantics. Moreover, many issues in cognitive science, ranging from perception and conceptualization to language processing, had to be dealt with to instantiate these experiments, so that this book contributes not only to the study of language evolution but to the investigation of the cognitive bases of spatial language as well.
Cognitive Robotics
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Author : Angelo Cangelosi
language : en
Publisher: MIT Press
Release Date : 2022-05-17
Cognitive Robotics written by Angelo Cangelosi and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-17 with Technology & Engineering categories.
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.
New Directions In Logic Language And Computation
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Author : Daniel Lassiter
language : en
Publisher: Springer
Release Date : 2012-07-26
New Directions In Logic Language And Computation written by Daniel Lassiter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-26 with Mathematics categories.
The European Summer School in Logic, Language and Information (ESSLLI) is organized every year by the Association for Logic, Language and Information (FoLLI) in different sites around Europe. The main focus of ESSLLI is on the interface between linguistics, logic and computation. ESSLLI offers foundational, introductory and advanced courses, as well as workshops, covering a wide variety of topics within the three areas of interest: Language and Computation, Language and Logic, and Logic and Computation. During two weeks, around 50 courses and 10 workshops are offered to the attendants, each of 1.5 hours per day during a five days week, with up to seven parallel sessions. ESSLLI also includes a student session (papers and posters by students only, 1.5 hour per day during the two weeks) and four evening lectures by senior scientists in the covered areas. The 15 revised full papers presented were carefully reviewed and selected. The papers are organized in topical sections on The papers are organized in topical sections on language and computation; logic and computation; and logic and language.
Biomimetic Neural Learning For Intelligent Robots
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Author : Stefan Wermter
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-07-06
Biomimetic Neural Learning For Intelligent Robots written by Stefan Wermter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-06 with Technology & Engineering categories.
This state-of-the-art survey contains selected papers contributed by researchers in intelligent systems, cognitive robotics, and neuroscience including contributions from the MirrorBot project and from the NeuroBotics Workshop 2004. The research work presented demonstrates significant novel developments in biologically inspired neural models for use in intelligent robot environments and biomimetic cognitive behavior.
Sound And Robotics
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Author : Richard Savery
language : en
Publisher: CRC Press
Release Date : 2023-12-21
Sound And Robotics written by Richard Savery and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Technology & Engineering categories.
Sound in human–robot interaction currently encompasses a wide range of approaches and methodologies not easily classified, analyzed or compared among projects. This edited book covers the state of the art in sound and robotics, aiming to gather existing approaches in a combined volume. Collecting chapters from world-leading academic and industry authors, Sound and Robotics: Speech, Non-Verbal Audio and Robotic Musicianship explores how robots can communicate through speech, non-verbal audio and music. The first set of chapters explores how robots use verbal communication, considering the possibilities of speech for human–robot interaction. The second section shifts to roles of non-verbal communication in HRI, including consequential sound, sonification and audio cues. The third and final section describes current approaches to robotic musicianship and their evaluation. This book is primarily aimed at HRI researchers, ranging from those who have never used sound to those very experienced with sound. Alongside robotic researchers, this book will present avenues for a diverse range of musicians, composers and sound designers to become introduced to the world of HRI and learn of potential creative directions in robotics.
Interactive Task Learning
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Author : Kevin A. Gluck
language : en
Publisher: MIT Press
Release Date : 2019-08-16
Interactive Task Learning written by Kevin A. Gluck and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-16 with Computers categories.
Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. Humans are not limited to a fixed set of innate or preprogrammed tasks. We learn quickly through language and other forms of natural interaction, and we improve our performance and teach others what we have learned. Understanding the mechanisms that underlie the acquisition of new tasks through natural interaction is an ongoing challenge. Advances in artificial intelligence, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge gap exists, however, between the highly specialized niche capabilities of current machine learning systems and the generality, flexibility, and in situ robustness of human instruction and learning. Drawing on expertise from multiple disciplines, this Strüngmann Forum Report explores how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. The contributors consider functional knowledge requirements, the ontology of interactive task learning, and the representation of task knowledge at multiple levels of abstraction. They explore natural forms of interactions among humans as well as the use of interaction to teach robots and software agents new tasks in complex, dynamic environments. They discuss research challenges and opportunities, including ethical considerations, and make proposals to further understanding of interactive task learning and create new capabilities in assistive robotics, healthcare, education, training, and gaming. Contributors Tony Belpaeme, Katrien Beuls, Maya Cakmak, Joyce Y. Chai, Franklin Chang, Ropafadzo Denga, Marc Destefano, Mark d'Inverno, Kenneth D. Forbus, Simon Garrod, Kevin A. Gluck, Wayne D. Gray, James Kirk, Kenneth R. Koedinger, Parisa Kordjamshidi, John E. Laird, Christian Lebiere, Stephen C. Levinson, Elena Lieven, John K. Lindstedt, Aaron Mininger, Tom Mitchell, Shiwali Mohan, Ana Paiva, Katerina Pastra, Peter Pirolli, Roussell Rahman, Charles Rich, Katharina J. Rohlfing, Paul S. Rosenbloom, Nele Russwinkel, Dario D. Salvucci, Matthew-Donald D. Sangster, Matthias Scheutz, Julie A. Shah, Candace L. Sidner, Catherine Sibert, Michael Spranger, Luc Steels, Suzanne Stevenson, Terrence C. Stewart, Arthur Still, Andrea Stocco, Niels Taatgen, Andrea L. Thomaz, J. Gregory Trafton, Han L. J. van der Maas, Paul Van Eecke, Kurt VanLehn, Anna-Lisa Vollmer, Janet Wiles, Robert E. Wray III, Matthew Yee-King
Cross Modal Learning Adaptivity Prediction And Interaction
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Author : Jianwei Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-02
Cross Modal Learning Adaptivity Prediction And Interaction written by Jianwei Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-02 with Science categories.
The purpose of this Research Topic is to reflect and discuss links between neuroscience, psychology, computer science and robotics with regards to the topic of cross-modal learning which has, in recent years, emerged as a new area of interdisciplinary research. The term cross-modal learning refers to the synergistic synthesis of information from multiple sensory modalities such that the learning that occurs within any individual sensory modality can be enhanced with information from one or more other modalities. Cross-modal learning is a crucial component of adaptive behavior in a continuously changing world, and examples are ubiquitous, such as: learning to grasp and manipulate objects; learning to walk; learning to read and write; learning to understand language and its referents; etc. In all these examples, visual, auditory, somatosensory or other modalities have to be integrated, and learning must be cross-modal. In fact, the broad range of acquired human skills are cross-modal, and many of the most advanced human capabilities, such as those involved in social cognition, require learning from the richest combinations of cross-modal information. In contrast, even the very best systems in Artificial Intelligence (AI) and robotics have taken only tiny steps in this direction. Building a system that composes a global perspective from multiple distinct sources, types of data, and sensory modalities is a grand challenge of AI, yet it is specific enough that it can be studied quite rigorously and in such detail that the prospect for deep insights into these mechanisms is quite plausible in the near term. Cross-modal learning is a broad, interdisciplinary topic that has not yet coalesced into a single, unified field. Instead, there are many separate fields, each tackling the concerns of cross-modal learning from its own perspective, with currently little overlap. We anticipate an accelerating trend towards integration of these areas and we intend to contribute to that integration. By focusing on cross-modal learning, the proposed Research Topic can bring together recent progress in artificial intelligence, robotics, psychology and neuroscience.
Computational Issues In Fluid Construction Grammar
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Author : Luc STEELS
language : en
Publisher: Springer
Release Date : 2012-10-30
Computational Issues In Fluid Construction Grammar written by Luc STEELS and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-30 with Computers categories.
This state-of-the-art-survey documents the Fluid Construction Grammar (FCG), a new formalism for the representation of lexicons and grammars, which has been used in a wide range of case studies for different languages, both for studying specific grammatical phenomena and design patterns, as for investigating language learning and language evolution. The book focuses on the many complex computational issues that arise when writing challenging real world grammars and hence emphasises depth of analysis rather than broad scope. The volume contains 13 contributions organized in 5 parts from "Basic", and "Implementation", over "Case Studies", and "Formal Analysis", up to 3 papers presenting a "Conclusion".