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Spatial Representation and Motion Planning [electronic resource] / edited by Angel Pasqual Pobil, Miguel Angel Serna.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 1014Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1995Description: XII, 248 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540484899
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006 23
LOC classification:
  • QA75.5-76.95
Online resources:
Contents:
The spatial representation -- Collision detection -- Motion planning -- Extensions to the model -- Conclusion and future work.
In: Springer eBooksSummary: This book is devoted to the development of adequate spatial representations for robot motion planning. Drawing upon advanced heuristic techniques from AI and computational geometry, the authors introduce a general model for spatial representation of physical objects. This model is then applied to two key problems in intelligent robotics: collision detection and motion planning. In addition, the application to actual robot arms is kept always in mind, instead of dealing with simplified models. This monograph is built upon Angel del Pobil's PhD thesis which was selected as the winner of the 1992 Award of the Spanish Royal Academy of Doctors.
Item type: E-BOOKS
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IMSc Library Link to resource Available EBK6499

The spatial representation -- Collision detection -- Motion planning -- Extensions to the model -- Conclusion and future work.

This book is devoted to the development of adequate spatial representations for robot motion planning. Drawing upon advanced heuristic techniques from AI and computational geometry, the authors introduce a general model for spatial representation of physical objects. This model is then applied to two key problems in intelligent robotics: collision detection and motion planning. In addition, the application to actual robot arms is kept always in mind, instead of dealing with simplified models. This monograph is built upon Angel del Pobil's PhD thesis which was selected as the winner of the 1992 Award of the Spanish Royal Academy of Doctors.

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The Institute of Mathematical Sciences, Chennai, India