Machine intelligence and knowledge engineering for robotic applications NATO ASI series / Series F / Computer and systems sciences ; Vol. 33;

Wong, Andrew K. C. and Alan Pugh:

ISBN 10: 3540178449 / ISBN 13: 9783540178446

Verlag: Springer, 1987

Beschreibung

486 Seiten; Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. Einbandkanten sind leicht bestoßen. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1040.

Bestandsnummer des Verkäufers 2000375

Bibliografische Details

• Titel: Machine intelligence and knowledge engineering for robotic applications NATO ASI series / Series F / Computer and systems sciences ; Vol. 33
• Verlag: Springer
• Erscheinungsjahr: 1987
• Sprache: Englisch
• ISBN-10: 3540178449
• ISBN-13: 9783540178446
• Einband: gebundene Ausgabe
• Zustand: Gut
• Gewicht: 1040 Gramm
• Verkäuferkataloge:
  • 202 Informatik & EDV

Über diesen Titel

Reseña del editor

This book is the outcome of the NATO Advanced Research Workshop on Machine Intelligence and Knowledge Engineering for Robotic Applications held at Maratea, Italy in May 1986. Attendance of the workshop was by invitation only. Most of the participants and speakers are recognized leaders in the field, representing industry, government and academic c0mrnunity worldwide. The focus of the workshop was to review the recent advances of machine intelligence and knowledge engineering for robotic appli­ cations. It covers five main areas of interest. They are grouped into five sections: 1. Robot Vision 2. Knowledge Representation and Image Understanding 3. Robot Control and Inference Systems 4. Task Planning and Expert Systems 5. Software/Hardware Systems Also included in this book are a paper from the Poster Session and a brief report of the panel discussion on the Future Direction in Knowledge-Based Robotics. Section I of this book consists of four papers. It begins with a review of the basic concepts of computer vision, with emphasis on techniques specific for robot vision systems. The next paper pre­ sents a comprehensive 3-D vision system for robotic application.