Cognitive Robotics

Description

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. Cover Title Page Contents Preface Acknowledgments I: Definition and Approaches 1 What Is Cognitive Robotics? 2 Neurorobotics: Neuroscience and Robots 3 Developmental Robotics 4 Evolutionary Robotics 5 Swarm Robotics 6 Soft Robotics: A Developmental Approach II: Methods and Concepts 7 Robot Platforms and Simulators 8 Biomimetic Skin 9 Machine Learning for Cognitive Robotics 10 Cognitive Architectures 11 Embodiment in Cognitive Science and Robotics 12 Ethics of Robotics III: Behavioral and Cognitive Capabilities 13 Intrinsic Motivations for Open- Ended Learning 14 Principles of Cognitive Vision 15 Cognitive Robot Navigation 16 Cognitive Robot Manipulation 17 Cognitive Control for Decision and Human-Robot Collaboration 18 Social Cognition 19 Human-Robot Interaction 20 Language and Communication 21 Knowledge Representation and Reasoning 22 Abstract Concepts 23 Robots and Machine Consciousness Contributors Index