Springer Verlag; Berlin, 1987. Hardcover. Volume 33. A Good, binding sturdy and intact, some handling/scuff marks to boards, bit of sunning to spine, some crimping to spine edges, small tear (hole) bottom front joint, ink check mark front free endpaper else unmarked, without Dust wrapper. A good and clean copy. 8vo[octavo or approx. 6 x 9 inches], 486pp. We pack securely and ship daily with delivery confirmation on every book. The picture on the listing page is of the actual book for sale. Additional Scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book.

Bestandsnummer des Verk�ufers SKU1037660

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Bibliografische Details

Titel

Machine Intelligence and Knowledge Engineering for Robotic Applications (Nato ASI Subseries F:)

Verlag

Springer

Erscheinungsjahr

1987

Sprache

Englisch

ISBN-10

3540178449

ISBN-13

9783540178446

Einband

hardcover

Zustand

Good

Verk�uferkataloge

Math Text Books

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Rese�a 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.

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