From Babies to Robots
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.
Hardcover$67.00 S ISBN: 9780262028011 432 pp. | 9 in x 7 in 99 b&w illus.
... with their combined background in psychology, cognitive science, and artificial intelligence, Cangelosi and Schlesinger are well equipped to illustrate the full-breadth of this dynamic field. Developmental robotics primarily draws people from psychology and artificial intelligence. However it goes far beyond that with connections to linguistics, neuroscience, philosophy of mind, and more. The book provides an extensive set of references (50 pages long) highlighting the true interdisciplinary nature of the field. (...) Cangelosi and Schlesinger's book provides a clear and accessible introduction to developmental robotics, demonstrating the exciting kinds of research that result from interdisciplinary collaborations.
Genetic Programming and Evolvable Machines
Angelo Cangelosi and Matthew Schlesinger present a fascinating review of ongoing scientific and technological research on human intelligence by exploring the parallel between robotics research and the study of child development. By highlighting the role of robotic engineering as a tool to investigate the principles giving rise to human intelligence, the book presents a very timely and convincing message in support of interdisciplinary research.
Director, Robotics, Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia; Professor of Bioengineering, University of Genova
If you build it, they will come...and we have! This volume distills the principles of the exciting new field of developmental robotics. Although researchers will undoubtedly find places to argue with the authors, that's really the point—the volume states these principles in an accessible way that will promote progress. Developmental robotics has finally stood up and taken a big step forward.
John P. Spencer
Professor of Psychological and Brain Sciences, University of Iowa; coeditor of Toward a Unified Theory of Development: Connectionism and Dynamic Systems Theory Re-Considered
With Developmental Robotics Angelo Cangelosi and Matthew Schlesinger provide a much-needed overview and cartography of a research area that has only emerged in the last two decades, combining their considerable interdisciplinary expertise and sharing their vast knowledge not only with students but also with researchers from related fields. Indeed, this book is a very dense source of inspiration and insight for researchers from all robotic fields.
Professor of Applied Informatics, Center of Excellence on Cognitive Interaction Technology, Bielefeld University
Cangelosi and Schlesinger provide a thorough and thoughtful overview of the emerging field of developmental robotics. Integrating insights from the full range of historical traditions on development, and bringing them together with the power of modern computational methods, they show us how the effort to understand development will depend both on classical analytic approaches and on synthetic experiments with robots that develop their mental abilities through experience. Anyone wishing to know where we are and where we are going in the effort to understand how mind and purposive behavior arise from biology and experience will want to own a copy of this book.
Director, Center for Mind, Brain, and Computation, Stanford University