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Introduction to AI Robotics, second edition

List Price: $90.00
SKU:
9780262038485
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  • Product Details

    Author:
    Robin R. Murphy
    Series:
    Intelligent Robotics and Autonomous Agents series
    Format:
    Hardcover
    Pages:
    648
    Publisher:
    MIT Press (October 1, 2019)
    Language:
    English
    ISBN-13:
    9780262038485
    ISBN-10:
    026203848X
    Weight:
    46.6oz
    Dimensions:
    8.37" x 9.31" x 1.37"
    Case Pack:
    12
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260705T122803_156890403-20260705.xml
    Folder:
    RandomHouse
    List Price:
    $90.00
    As low as:
    $69.30
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
    Audience:
    General/trade
    Country of Origin:
    United States
    Pub Discount:
    65
    Imprint:
    Bradford Books
  • Overview

    A comprehensive survey of artificial intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications.

    This textbook offers a comprehensive survey of artificial intelligence (AI) algorithms and programming organization for robot systems. Readers who master the topics covered will be able to design and evaluate an artificially intelligent robot for applications involving sensing, acting, planning, and learning. A background in AI is not required; the book introduces key AI topics from all AI subdisciplines throughout the book and explains how they contribute to autonomous capabilities.

    This second edition is a major expansion and reorganization of the first edition, reflecting the dramatic advances made in AI over the past fifteen years. An introductory overview provides a framework for thinking about AI for robotics, distinguishing between the fundamentally different design paradigms of automation and autonomy. The book then discusses the reactive functionality of sensing and acting in AI robotics; introduces the deliberative functions most often associated with intelligence and the capability of autonomous initiative; surveys multi-robot systems and (in a new chapter) human-robot interaction; and offers a “metaview” of how to design and evaluate autonomous systems and the ethical considerations in doing so. New material covers locomotion, simultaneous localization and mapping,  human-robot interaction, machine learning, and ethics. Each chapter includes exercises, and many chapters provide case studies. Endnotes point to additional reading, highlight advanced topics, and offer robot trivia.