Knowledge-Based Vision-Guided Robots

Many robotics researchers consider high-level vision algorithms (computational) too expensive for use in robot guidance. This book introduces the reader to an alternative approach to perception for autonomous, mobile robots. It explores how to apply methods of high-level computer vision and fuzzy lo...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Barnes, Nick (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Liu, Zhi-Quiang (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2002.
Έκδοση:1st ed. 2002.
Σειρά:Studies in Fuzziness and Soft Computing, 103
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 1 Introduction
  • 1.1 Background
  • 1.2 Aims of the Research Presented in this Book: A Problem in Robot Vision
  • 1.3 The Approach of this Book
  • 1.4 About the Chapters
  • 2 Related Systems and Ideas
  • 2.1 Basic computer vision approaches
  • 2.2 Vision-Guided Mobile Robot Systems
  • 2.3 Computer Vision for Mobile Robots
  • 2.4 Conclusion
  • 3 Embodied Vision For Mobile Robots
  • 3.1 Introduction
  • 3.2 The Classical Computer Vision Paradigm
  • 3.3 Problems with Classical Computer Vision
  • 3.4 Applying Embodied Concepts in Human Vision
  • 3.5 Embodiment of Vision-guided Robots
  • 3.6 Embodiment for Vision-guided Robots
  • 3.7 Conclusion
  • 4 Object Recognition Mobile Robot Guidance
  • 4.1 Introduction
  • 4.2 System Perspective
  • 4.3 Object Recognition
  • 4.4 Determining Object Pose and Distance
  • 4.5 Conclusion
  • 5 Edge Segmentation and Matching
  • 5.1 Edge Extraction
  • 5.2 Edge Matching
  • 6 Knowledge Based Shape from Shading
  • 6.1 Introduction
  • 6.2 Using Object Model Knowledge for Shape-From-Shading
  • 6.3 A New Boundary Condition for Shape-From-Shading
  • 6.4 Knowledge-based Implementation
  • 6.5 Experimental Method and Results
  • 6.6 Conclusion
  • 7 Supporting Navigation Components
  • 7.1 Model-based Path Planning
  • 7.2 Odometry and Obstacle Avoidance Subsystem
  • 8 Fuzzy Control for Active Perceptual Docking
  • 8.1 Introduction
  • 8.2 Direction Control for Robot Docking
  • 8.3 A Fuzzy Control Scheme
  • 8.4 Results
  • 8.5 Conclusion
  • 9 System Results and Case Studies
  • 9.1 Evaluation of Components
  • 9.2 Case Studies
  • 9.3 Conclusion
  • 10 Conclusion
  • 10.1 Limitations of the Research Presented and Future Work
  • 10.2 Extended quotation from Descartes.