Developmental Robotics
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Developmental Robotics
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Author : Angelo Cangelosi
language : en
Publisher: MIT Press
Release Date : 2015-01-09
Developmental 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 2015-01-09 with Technology & Engineering categories.
A comprehensive overview of an interdisciplinary approach to robotics that takes direct inspiration from the developmental and learning phenomena observed in children's cognitive development. Developmental robotics is a collaborative and interdisciplinary approach to robotics that is directly inspired by the developmental principles and mechanisms observed in children's cognitive development. It builds on the idea that the robot, using a set of intrinsic developmental principles regulating the real-time interaction of its body, brain, and environment, can autonomously acquire an increasingly complex set of sensorimotor and mental capabilities. This volume, drawing on insights from psychology, computer science, linguistics, neuroscience, and robotics, offers the first comprehensive overview of a rapidly growing field. After providing some essential background information on robotics and developmental psychology, the book looks in detail at how developmental robotics models and experiments have attempted to realize a range of behavioral and cognitive capabilities. The examples in these chapters were chosen because of their direct correspondence with specific issues in child psychology research; each chapter begins with a concise and accessible overview of relevant empirical and theoretical findings in developmental psychology. The chapters cover intrinsic motivation and curiosity; motor development, examining both manipulation and locomotion; perceptual development, including face recognition and perception of space; social learning, emphasizing such phenomena as joint attention and cooperation; language, from phonetic babbling to syntactic processing; and abstract knowledge, including models of number learning and reasoning strategies. Boxed text offers technical and methodological details for both psychology and robotics experiments.
Developmental Robotics
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-12-18
Developmental Robotics written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Technology & Engineering categories.
1. Developmental robotics: Introduction to robotics inspired by human growth and learning. 2. Domo (robot): Study of Domo, a robot designed for interaction with human environments. 3. Humancentered computing: Exploration of systems that prioritize human interaction and usability. 4. Computational intelligence: Insight into computational models of intelligence in robotics. 5. Cognitive architecture: Examination of the structures enabling robot reasoning and learning. 6. Cognitive robotics: Insights into robots that mimic humanlike perception and problemsolving. 7. Robot learning: Overview of machine learning as applied to autonomous robotic adaptation. 8. Enactivism: Analysis of embodied learning through physical and environmental interaction. 9. Programming by demonstration: Techniques for teaching robots through human action examples. 10. Leonardo (robot): Case study on Leonardo, a robot trained for social learning. 11. Max Planck Institute for Psycholinguistics: Research insights on robotic language processing. 12. Domaingeneral learning: Exploration of robots learning across diverse, unspecific tasks. 13. Infant cognitive development: Comparisons of robotic learning to human infant cognition. 14. Basic science (psychology): Psychological principles foundational to robotic behavior. 15. Morphogenetic robotics: Study of robots that adapt based on biological growth patterns. 16. Evolutionary developmental robotics: Robotics inspired by natural evolutionary processes. 17. Situated approach (artificial intelligence): Contextual AI based on realworld environments. 18. Embodied cognition: Understanding cognition as grounded in physical embodiment. 19. JeanChristophe Baillie: Contributions to robotics and interactive learning systems. 20. Aude Billard: Innovations in social and learningbased robotics applications. 21. Intrinsic motivation (artificial intelligence): Motivationdriven behaviors in autonomous AI.
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.
Control Systems And Vision In Robotics
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Author : Ashwin Hegde
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Control Systems And Vision In Robotics written by Ashwin Hegde and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
"Control Systems and Vision in Robotics" embarks on a journey into the realm of robotics, vision, and control, meticulously illuminating the intricate interplay between these cutting-edge disciplines. In an era defined by technological innovation, the integration of robotics, computer vision, and control systems is reshaping industries from manufacturing to healthcare, transportation to entertainment. This book serves as a beacon, guiding readers through fundamental principles, advanced methodologies, and real-world applications that underscore the transformative potential of this convergence. From the theoretical underpinnings of robot kinematics and dynamics to the practical implementation of vision-based perception algorithms and feedback control strategies, each chapter offers comprehensive explorations of key concepts, supplemented by illustrative examples and hands-on exercises. Whether you're a seasoned researcher, a curious student, or a forward-thinking practitioner, this book equips you with the knowledge and skills needed to tackle complex challenges and push the boundaries of possibility in the dynamic field of robotics and automation. Join us on this exhilarating expedition, where theory meets practice and innovation knows no bounds.
Modeling Play In Early Infant Development
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Author : Mark H. Lee
language : en
Publisher: Frontiers Media SA
Release Date : 2020-10-09
Modeling Play In Early Infant Development written by Mark H. Lee 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 2020-10-09 with Medical categories.
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Intrinsic Motivations And Open Ended Development In Animals Humans And Robots
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Author : Gianluca Baldassarre
language : en
Publisher: Frontiers E-books
Release Date : 2015-02-10
Intrinsic Motivations And Open Ended Development In Animals Humans And Robots written by Gianluca Baldassarre and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-10 with Autonomous robots categories.
The aim of this Research Topic for Frontiers in Psychology under the section of Cognitive Science and Frontiers in Neurorobotics is to present state-of-the-art research, whether theoretical, empirical, or computational investigations, on open-ended development driven by intrinsic motivations. The topic will address questions such as: How do motivations drive learning? How are complex skills built up from a foundation of simpler competencies? What are the neural and computational bases for intrinsically motivated learning? What is the contribution of intrinsic motivations to wider cognition? Autonomous development and lifelong open-ended learning are hallmarks of intelligence. Higher mammals, and especially humans, engage in activities that do not appear to directly serve the goals of survival, reproduction, or material advantage. Rather, a large part of their activity is intrinsically motivated - behavior driven by curiosity, play, interest in novel stimuli and surprising events, autonomous goal-setting, and the pleasure of acquiring new competencies. This allows the cumulative acquisition of knowledge and skills that can later be used to accomplish fitness-enhancing goals. Intrinsic motivations continue during adulthood, and in humans artistic creativity, scientific discovery, and subjective well-being owe much to them. The study of intrinsically motivated behavior has a long history in psychological and ethological research, which is now being reinvigorated by perspectives from neuroscience, artificial intelligence and computer science. For example, recent neuroscientific research is discovering how neuromodulators like dopamine and noradrenaline relate not only to extrinsic rewards but also to novel and surprising events, how brain areas such as the superior colliculus and the hippocampus are involved in the perception and processing of events, novel stimuli, and novel associations of stimuli, and how violations of predictions and expectations influence learning and motivation. Computational approaches are characterizing the space of possible reinforcement learning algorithms and their augmentation by intrinsic reinforcements of different kinds. Research in robotics and machine learning is yielding systems with increasing autonomy and capacity for self-improvement: artificial systems with motivations that are similar to those of real organisms and support prolonged autonomous learning. Computational research on intrinsic motivation is being complemented by, and closely interacting with, research that aims to build hierarchical architectures capable of acquiring, storing, and exploiting the knowledge and skills acquired through intrinsically motivated learning. Now is an important moment in the study of intrinsically motivated open-ended development, requiring contributions and integration across a large number of fields within the cognitive sciences. This Research Topic aims to contribute to this effort by welcoming papers carried out with ethological, psychological, neuroscientific and computational approaches, as well as research that cuts across disciplines and approaches.
Intelligent Robotics And Applications
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Author : Honghai Liu
language : en
Publisher: Springer
Release Date : 2015-08-19
Intelligent Robotics And Applications written by Honghai Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-19 with Computers categories.
This three volume set LNAI 9244, 9245, and 9246 constitutes the refereed proceedings of the 8th International Conference on Intelligent Robotics and Applications, ICIRA 2015, held in Portsmouth, UK, in August 2015. The 61 papers included in the second volume are organized in topical sections on man-machine interaction; robot design, development and control; navigation and planning; robot motion analysis and planning; medical robot; prototyping; and manufacturing.
Conducting Research In Developmental Psychology
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Author : Nancy Jones
language : en
Publisher: Routledge
Release Date : 2019-11-25
Conducting Research In Developmental Psychology written by Nancy Jones and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-25 with Psychology categories.
This comprehensive guide offers a rich introduction to research methods, experimental design and data analysis techniques in developmental science, emphasizing the importance of an understanding of this area of psychology for any student or researcher interested in examining development across the lifespan. The expert contributors enhance the reader’s knowledge base, understanding of methods, and critical thinking skills in their area of study. They cover development from the prenatal period to adolescence and old age, and explore key topics including the history of developmental research, ethics, animal models, physiological measures, eye-tracking, and computational and robotics models. They accessibly explore research measures and design in topics including gender identity development, the influence of neighborhoods, mother-infant attachment relationships, peer relationships in childhood, prosocial and moral development patterns, developmental psychopathology and social policy, and the examination of memory across the lifespan. Each chapter ends with a summary of innovations in the field over the last ten years, giving students and interested researchers a thorough overview of the field and an idea of what more is to come. Conducting Research in Developmental Psychology is essential reading for upper-level undergraduate or graduate students seeking to understand a new area of developmental science, developmental psychology, and human development. It will also be of interest to junior researchers who would like to enhance their knowledge base in a particular area of developmental science, human development, education, biomedical science, or nursing.
Bio Inspired Self Organizing Robotic Systems
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Author : Yan Meng
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-08
Bio Inspired Self Organizing Robotic Systems written by Yan Meng 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 2011-05-08 with Computers categories.
Self-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments. Compared with classical control methods for robotic systems, the major advantages of bio-inspired self-organizing robotic systems include robustness, self-repair and self-healing in the presence of system failures and/or malfunctions, high adaptability to environmental changes, and autonomous self-organization and self-reconfiguration without a centralized control. “Bio-inspired Self-organizing Robotic Systems” provides a valuable reference for scientists, practitioners and research students working on developing control algorithms for self-organizing engineered collective systems, such as swarm robotic systems, self-reconfigurable modular robots, smart material based robotic devices, unmanned aerial vehicles, and satellite constellations.
Computational Evolution Of Neural And Morphological Development
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Author : Yaochu Jin
language : en
Publisher: Springer Nature
Release Date : 2023-07-14
Computational Evolution Of Neural And Morphological Development written by Yaochu Jin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-14 with Computers categories.
This book provides a basic yet unified overview of theory and methodologies for evolutionary developmental systems. Based on the author’s extensive research into the synergies between various approaches to artificial intelligence including evolutionary computation, artificial neural networks, and systems biology, it also examines the inherent links between biological intelligence and artificial intelligence. The book begins with an introduction to computational algorithms used to understand and simulate biological evolution and development, including evolutionary algorithms, gene regulatory network models, multi-cellular models for neural and morphological development, and computational models of neural plasticity. Chap. 2 discusses important properties of biological gene regulatory systems, including network motifs, network connectivity, robustness and evolvability. Going a step further, Chap. 3 presents methods for synthesizing regulatory motifs from scratch and creating more complex regulatory dynamics by combining basic regulatory motifs using evolutionary algorithms. Multi-cellular growth models, which can be used to simulate either neural or morphological development, are presented in Chapters 4 and 5. Chap. 6 examines the synergies and coupling between neural and morphological evolution and development. In turn, Chap. 7 provides preliminary yet promising examples of how evolutionary developmental systems can help in self-organized pattern generation, referred to as morphogenetic self-organization, highlighting the great potentials of evolutionary developmental systems. Finally, Chap. 8 rounds out the book, stressing the importance and promise of the evolutionary developmental approach to artificial intelligence. Featuring a wealth of diagrams, graphs and charts to aid in comprehension, this book offers a valuable asset for graduate students, researchers and practitioners who are interested in pursuing a different approach to artificial intelligence.