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Machine Learning of Robot Assembly Plans

  • Book
  • © 1988

Overview

Authors:
  1. Alberto Maria Segre

    1. Cornell University, USA

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Introduction

    • Alberto Maria Segre
    Pages 1-6

  3. Scenario

    • Alberto Maria Segre
    Pages 7-33

  4. Explanation-Based Learning

    • Alberto Maria Segre
    Pages 35-46

  5. The Arms World

    • Alberto Maria Segre
    Pages 47-60

  6. Learning and Problem Solving

    • Alberto Maria Segre
    Pages 61-87

  7. The Arms Implementation

    • Alberto Maria Segre
    Pages 89-148

  8. Scenario Revisited

    • Alberto Maria Segre
    Pages 149-160

  9. Summary and Future Work

    • Alberto Maria Segre
    Pages 161-173

  10. Back Matter

    Pages 175-233
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Keywords

About this book

The study of artificial intelligence (AI) is indeed a strange pursuit. Unlike most other disciplines, few AI researchers even agree on a mutually acceptable definition of their chosen field of study. Some see AI as a sub field of computer science, others see AI as a computationally oriented branch of psychology or linguistics, while still others see it as a bag of tricks to be applied to an entire spectrum of diverse domains. This lack of unified purpose among the AI community makes this a very exciting time for AI research: new and diverse projects are springing up literally every day. As one might imagine, however, this diversity also leads to genuine difficulties in assessing the significance and validity of AI research. These difficulties are an indication that AI has not yet matured as a science: it is still at the point where people are attempting to lay down (hopefully sound) foundations. Ritchie and Hanna [1] posit the following categorization as an aid in assessing the validity of an AI research endeavor: (1) The project could introduce, in outline, a novel (or partly novel) idea or set of ideas. (2) The project could elaborate the details of some approach. Starting with the kind of idea in (1), the research could criticize it or fill in further details (3) The project could be an AI experiment, where a theory as in (1) and (2) is applied to some domain. Such experiments are usually computer programs that implement a particular theory.

Authors and Affiliations

  • Cornell University, USA

    Alberto Maria Segre

Bibliographic Information

  • Book Title: Machine Learning of Robot Assembly Plans

  • Authors: Alberto Maria Segre

  • Series Title: The Springer International Series in Engineering and Computer Science

  • DOI: https://doi.org/10.1007/978-1-4613-1691-6

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Kluwer Academic Publishers 1988

  • Hardcover ISBN: 978-0-89838-269-3Published: 30 April 1988

  • Softcover ISBN: 978-1-4612-8954-8Published: 05 October 2011

  • eBook ISBN: 978-1-4613-1691-6Published: 06 December 2012

  • Series ISSN: 0893-3405

  • Edition Number: 1

  • Number of Pages: XVIII, 234

  • Topics: Artificial Intelligence

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