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European Robotics Symposium 2006 at Meripustak

European Robotics Symposium 2006 by CHRISTENSEN, SPRINGER

Books from same Author: CHRISTENSEN

Books from same Publisher: SPRINGER

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  • General Information  
    Author(s)CHRISTENSEN
    PublisherSPRINGER
    ISBN9783540326885
    Pages209
    BindingHardbound
    LanguageEnglish
    Publish YearApril 2006

    Description

    SPRINGER European Robotics Symposium 2006 by 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 (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._x000D_ _x000D_ 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._x000D_



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