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Robotics and Artificial Intelligence

  • Conference proceedings
  • © 1984

Overview

Editors:
  1. Michael Brady

    1. Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA

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  2. Lester A. Gerhardt

    1. Electrical, Computer, and Systems Engineering Department, Rensselaer Polytechnic Institute, Troy, USA

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  3. Harold F. Davidson

    1. Department of the Army, USA

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Part of the book series: NATO ASI Subseries F: (NATO ASI F, volume 11)

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Table of contents (36 papers)

  1. Front Matter

    Pages I-XVII
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  2. Introduction and Overview

    1. Front Matter

      Pages 1-1
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    2. State of the Art and Predictions for Artificial Intelligence and Robotics

      • Roger N. Nagel
      Pages 3-45

    3. Artificial Intelligence and Robotics

      • Michael Brady
      Pages 47-63

    4. Robotics

      • James S. Albus
      Pages 65-93

  3. Sensors, Manipulators, and Pattern Recognition

    1. Front Matter

      Pages 95-95
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    2. Methods for Choosing Actuators and Transmission Components for High Performance Manipulators

      • W. P. Seering, K. A. Pasch
      Pages 97-108

    3. Tactile Sensing For Robots

      • Leon D. Harmon
      Pages 109-157

    4. Automatic Recognition of Low Resolution Tactile Sensing Data Using Rapid Transformation

      • Kai-Kuang Ma, Paul P. Wang, Jack Rebman
      Pages 159-170

    5. On Patterns and Pattern Recognition

      • A. M. Gökeri
      Pages 171-179

    6. Segmentation of Digital Arcs

      • S. H. Y. Hung, T. Kasvand
      Pages 181-195

  4. Languages, Software and CAD

    1. Front Matter

      Pages 197-197
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    2. Automatic Synthesis of Robot Programs from CAD Specifications

      • Jean-Claude Latombe
      Pages 199-217

    3. Languages for Programming Robots

      • A. P. Ambler
      Pages 219-227

    4. CAD, Robot Programming and Ada

      • Richard A. Volz, Anthony C. Woo, Jan D. Wolter, Trevor N. Mudge, Jerry L. Turney, David A. Gal
      Pages 229-246

    5. New Directions in Computer-Aided Design/Computer-Aided Manufacturing (CAD/CAM) Systems

      • S. G. Miller
      Pages 247-252

  5. Vision, Object Representation, Shape and Solid Modeling

    1. Front Matter

      Pages 253-253
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    2. Object Representation, Identification and Positioning from Range Data

      • O. D. Faugeras, M. Hebert, E. Pauchon, J. Ponce
      Pages 255-277

    3. Representing Shape

      • Michael Brady
      Pages 279-300

    4. Two Multi-Processor Systems for Low-Level Real-Time Vision

      • Volker Graefe
      Pages 301-308
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Keywords

About this book

Dr. Lester A. Gerhardt Professor and Chairman Electrical, Computer, and Systems Engineering Rensselaer Polytechnic Institute Troy, New York 12180 This book is a collection of papers on the subject of Robotics and Artificial Intelligence. Most of the papers contained herein were presented as part of the program of the NATO Advanced Study Institute held in June 1983 at Castel vecchio Pascoli, Italy on the same subject. Attendance at this two week Institute was by invitation only, drawing people internationally representing industry, government and the academic community worldwide. Many of the people in attendance, as well as those presenting papers, are recognized leaders in the field. In addition to the formal paper presentations, there were several informal work­ shops. These included a workshop on sensing, a workshop on educational methodology in the subject area, as examples. This book is an outgrowth and direct result of that Institute and includes the papers presented as well as a few others which were stimulated by that meeting. A special note is the paper entitled "State-of-the-Art and Predictions for Artificial Intelligence and Robotics" by Dr. R. Nagel which appears in the Introduction and Overview chapter of this book. This paper was originally developed as part of a study for the United States Army performed by the National Research Council of the National Academy of Science and published as part of a report entitled "Applications of Robotics and Artificial Intelligence to Reduce Risk and Improve Effectiveness" by National Academy Press in 1983.

Editors and Affiliations

  • Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA

    Michael Brady

  • Electrical, Computer, and Systems Engineering Department, Rensselaer Polytechnic Institute, Troy, USA

    Lester A. Gerhardt

  • Department of the Army, USA

    Harold F. Davidson

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