Cognitive Neuroscience Robotics B

Cognitive Neuroscience Robotics is the first introductory book on this new interdisciplinary area. This book consists of two volumes, the first of which, Synthetic Approaches to Human Understanding, advances human understanding from a robotics or engineering point of view. The second, Analytic Approaches to Human Understanding, addresses related subjects in cognitive science and neuroscience. These two volumes are intended to complement each other in order to more comprehensively investigate human cognitive functions, to develop human-friendly information and robot technology (IRT) systems, and to understand what kind of beings we humans are. Volume B describes to what extent cognitive science and neuroscience have revealed the underlying mechanism of human cognition, and investigates how development of neural engineering and advances in other disciplines could lead to deep understanding of human cognition.

Cognitive Neuroscience Robotics is the first introductory book on this new interdisciplinary area. This book consists of two volumes, the first of which, Synthetic Approaches to Human Understanding, advances human understanding from a robotics or engineering point of view. The second, Analytic Approaches to Human Understanding, addresses related subjects in cognitive science and neuroscience. These two volumes are intended to complement each other in order to more comprehensively investigate human cognitive functions, to develop human-friendly information and robot technology (IRT) systems, and to understand what kind of beings we humans are. Volume A describes how human cognitive functions can be replicated in artificial systems such as robots, and investigates how artificial systems could acquire intelligent behaviors through interaction with others and their environment.

Subtitled Synthetic Approaches, this book takes a robotics and engineering perspective, to investigate human cognitive function, to develop human-friendly Information and Robot Technology systems, and to better grasp what kind of beings we humans are.

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.

An introduction to neurorobotics that presents approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots—autonomous systems modeled after some aspect of the brain—offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science. Neurorobotics covers the background and foundations of the field, with information on early neurorobots, relevant principles of neuroscience, learning rules and mechanisms, and reinforcement learning and prediction; neurorobot design principles grounded in neuroscience and principles of neuroscience research; and examples of neurorobots for navigation, developmental robotics, and social robots, presented with the cognitive science and neuroscience background that inspired them. A supplementary website offers videos, robot simulations, and links to software repositories with neurorobot examples.

The aim of the book is to introduce the state-of-the-art technologies in the field of brain and cognitive intelligence used in robotics control, particularly on studying how the brain learns and controls complex motor skills and how to replicate these in robots. This will be the first book that systematically and thoroughly deals with the above topics. Advances made in the past decades are described. Interesting topics such as human-robot interactions, neurorobotics, biomechanics in robotic control, robot vision, force control, and control and coordination of humanoid robots are covered.

Designed by experts in neuroscience and artificial intelligence, this book provides chapters that address questions concerning human and animal emotions, and their possible analogs in the "brains" of robots. It is intended for researchers and graduate students in neuroscience, cognitive science, psychology, robotics and artificial intelligence.

This is the first volume in the Cognitive Computation Trends book series, summarising our understanding on the neural correlate of memory, perception-representation, action, language, emotion and consciousness and their mutual interactions. Integrating research in the field of the Neuroscience, Robotics and Virtual Reality, this book is an original and attainable resource that has not been developed in any other writing. In 5 chapters, the author considers that representations are based on allegorical traces and are consciously and/or unconsciously embrained, and that the creation of robots is the expression of the mind. Whole-body virtual motion is thought of as the archetypal expression of virtual reality. Therefore, visual reality is analysed in a context of visuo-vestibular and somesthetic conflict while mixed and augmented reality are scrutinised in a context of visuo-vestibular and somesthetic interaction. This monograph is an indispensable handbook for students and investigators engaged in history of science, philosophy, psychology, neuroscience, engineering and those interested in there interconnections. The ambition of the book is to give students and investigators ideas on which they can build their future research in this new blooming area.