Sensor Based Intelligent Robots International Workshop, Dagstuhl Castle, Germany, October 15-20, 2000. Selected Revised Papers / edited by Gregory D. Hager, Henrik I. Christensen, Horst Bunke, Rolf Klein.

Robotics is a highly interdisciplinary research topic, that requires integration of methods for mechanics, control engineering, signal processing, planning, gra- ics, human-computer interaction, real-time systems, applied mathematics, and software engineering to enable construction of fully operatio...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hager, Gregory D. (Editor), Christensen, Henrik I. (Editor), Bunke, Horst (Editor), Klein, Rolf (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
Edition:1st ed. 2002.
Series:Lecture Notes in Computer Science, 2238
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Table of Contents:
  • Sensing
  • Generic Model Abstraction from Examples
  • Tracking Multiple Moving Objects in Populated, Public Environments
  • Omnidirectional Vision for Appearance-Based Robot Localization
  • Vision for Interaction
  • Vision and Touch for Grasping
  • A New Technique for the Extraction and Tracking of Surfaces in Range Image Sequences
  • Dynamic Aspects of Visual Servoing and a Framework for Real-Time 3D Vision for Robotics
  • Partitioned Image-Based Visual Servo Control: Some New Results
  • Towards Robust Perception and Model Integration
  • Robotics
  • Large Consistent Geometric Landmark Maps
  • Tactile Man-Robot Interaction for an Industrial Service Robot
  • Multiple-Robot Motion Planning = Parallel Processing + Geometry
  • Modelling, Control and Perception for an Autonomous Robotic Airship
  • On the Competitive Complexity of Navigation Tasks
  • Geometry and Part Feeding
  • CoolBOT: A Component-Oriented Programming Framework for Robotics
  • Intelligence
  • Particle Filtering with Evidential Reasoning
  • Structure and Process: Learning of Visual Models and Construction Plans for Complex Objects
  • Autonomous Fast Learning in a Mobile Robot
  • Exploiting Context in Function-Based Reasoning.