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Neurorobotics (Connecting the Brain, Body, and Environment)

List Price: $80.00
SKU:
9780262047067
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  • Product Details

    Author:
    Tiffany J. Hwu, Jeffrey L. Krichmar
    Format:
    Hardcover
    Pages:
    244
    Publisher:
    MIT Press (November 29, 2022)
    Language:
    English
    ISBN-13:
    9780262047067
    ISBN-10:
    0262047063
    Weight:
    18.4oz
    Dimensions:
    7.25" x 9.25" x 0.69"
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260705T121202_156890308-20260705.xml
    Folder:
    RandomHouse
    List Price:
    $80.00
    Series:
    Intelligent Robotics and Autonomous Agents series
    Case Pack:
    24
    As low as:
    $61.60
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
    Audience:
    General/trade
    Country of Origin:
    United States
    Pub Discount:
    65
    Imprint:
    The MIT Press
  • Overview

    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.