European Robotics Symposium 2006
Author(s)
Bibliographic Information
European Robotics Symposium 2006
(Springer tracts in advanced robotics, v. 22)
Springer, c2006
Available at 3 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references
Description and Table of Contents
Description
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 (EUROS-06) held in Palermo, Italy from 16-18 March, 2006. The European Robotics Symposium (EUROS) is a brand-new International scientific event promoted by EURON, the European Robotics Network.
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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