Machine Intelligence and Knowledge Engineering for Robotic Applications / edited by Andrew K.C. Wong, Alan Pugh.

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. The focus is on the review of recent advances of machine intelligence and knowledge engineering for robotic applications. The...

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Bibliographic Details
Online Access: Full Text (via Springer)
Main Author: Wong, Andrew K. C.
Other Authors: Pugh, A. (Alan)
Other title:Proceedings of the NATO Advanced Research Workshop on Machine Intelligence and Knowledge Engineering for Robotic Applications held at Maratea, Italy, May 12-16, 1986.
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 1987.
Series:NATO ASI series. Computer and systems sciences ; 33.
Subjects:

MARC

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245 1 0 |a Machine Intelligence and Knowledge Engineering for Robotic Applications /  |c edited by Andrew K.C. Wong, Alan Pugh. 
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505 0 |a Robot Vision -- Knowledge Representation & Image Understanding -- Robot Control and Inference Systems -- Task Planning and Expert Systems -- Software/Hardware Systems -- Poster Session -- Future Directions in Knowledge-Based Robotics -- List of Speakers -- List of Participants. 
520 |a 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. The focus is on the review of recent advances of machine intelligence and knowledge engineering for robotic applications. The papers, contributed by top researchers representing industry, government and the academic community, span the full range of robot vision and sensing, machine intelligence and knowledge-based systems, task planning, trajectory planning, tracking, control and hardware/software systems development. The greater part of the technical content is new and unique. The approaches taken are based on the reasoning that third generation robot tasks will need more sophisticated control and sensing systems, machine intelligence and knowledge-based systems to guide them than the current second-generation robots. Short papers on the state of research by industrial authors are also included. 
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