Neurorobotics: Connecting the Brain, Body, and Environment

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Description

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.

Additional information

Weight 0.53 kg
Dimensions 1.76 × 18.42 × 23.5 cm
PubliCanadation City/Country

USA

by

,

format

Language

Pages

244

publisher

Year Published

2022-11-29

Imprint

ISBN 10

0262047063

About The Author

Tiffany J. Hwu is a research scientist working on projects in autonomous agents and human-machine communication. Jeffrey L. Krichmar is a Professor in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine, where he teaches courses in artificial intelligence, cognitive robotics, and computational neuroscience.

Table Of Content

Preface viiI Neurorobot Background and Foundations 11 Neurorobotics: Origins and Background 32 Neuroscience: Background for Creating Neurorobots 173 Learning and Memory 494 Reinforcement Learning and Prediction 67II Neurorobot Design Principles 875 Neurorobot Design Principles 1: Every Action Has a Reaction 896 Neurorobot Design Principles 2: Adaptive Behavior, a Change for the Better 1137 Neurorobot Design Principles 3: Behavioral Trade-Offs Because Life Is Full of Compromises 135III Neurorobot Applications 1538 Neurorobotic Navigation 1559 Developmental and Social Robotics 18310 Neurorobotics: Past, Present, and Future 205Glossary 215References 221Index 231

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