European Robotics Symposium 2006

European Robotics Symposium 2006 edited by Henrik Christensen.

This unique reference represents a cross-section of forefront robotics research, ranging from robotics and systems to learning, autonomy and failure detection, from vision and navigation to localization and mapping, which are based on the papers presented at the 1st European Robotics Symposium (EURO...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Christensen, Henrik (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edition:1st ed. 2006.
Series:Springer Tracts in Advanced Robotics, 22
Springer eBook Collection.
Subjects:
Robotics.
Automation.
Engines.
Machinery.
Applied mathematics.
Engineering mathematics.
Control engineering.
Mechatronics.
Artificial intelligence.
System theory.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • An Ontology of Robotics Science
  • A Multi-Agent System Architecture for Modular Robotic Mobility Aids
  • How to Construct Dense Objects with Self-Reconfigurable Robots
  • In Situ Autonomous Biomechanical Characterization
  • Incremental Learning of Task Sequences with Information- Theoretic Metrics
  • Representation, Recognition and Generation of Actions in the context of Imitation Learning
  • Reduction of Learning Time for Robots Using Automatic State Abstraction
  • Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters
  • Optimization and Fail–Safety Analysis of Antagonistic Actuation for pHRI
  • Bilateral Control of Different Order Teleoperators
  • Navigation and planning in an unknown environment using vision and a cognitive map
  • Exploiting Distinguishable Image Features in Robotic Mapping and Localization
  • Image-Based Visual Servoing for Mobile Robots with Catadioptric Camera
  • Multi-knowledge Approach for Mobile Robot Identification of a Changing Environment
  • Robust Monte-Carlo Localization using Adaptive Likelihood Models
  • Metric Localization with Scale-Invariant Visual Features using a Single Perspective Camera.

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