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    NIPS
    2008
    175views Information Technology» more  NIPS 2008»
    Local Gaussian Process Regression for Real Time Online Model Learning
    13 years 7 months ago
    Local Gaussian Process Regression for Real Time Online Model Learning
    Download  www.kyb.tuebingen.mpg.de
    Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
    Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
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    IROS
    2008
    IEEE
    191views Robotics» more  IROS 2008»
    Local Gaussian process regression for real-time model-based robot control
    14 years 20 days ago
    Local Gaussian process regression for real-time model-based robot control
    Download  kyb.tuebingen.mpg.de
    — High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
    Duy Nguyen-Tuong, Jan Peters
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    NIPS
    2008
    188views Information Technology» more  NIPS 2008»
    Bayesian Kernel Shaping for Learning Control
    13 years 7 months ago
    Bayesian Kernel Shaping for Learning Control
    Download  eprints.pascal-network.org
    In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
    Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
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    ICRA
    2008
    IEEE
    169views Robotics» more  ICRA 2008»
    Sparse incremental learning for interactive robot control policy estimation
    14 years 21 days ago
    Sparse incremental learning for interactive robot control policy estimation
    Download  www.cs.brown.edu
    — We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...
    Daniel H. Grollman, Odest Chadwicke Jenkins
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    CDC
    2009
    IEEE
    157views Control Systems» more  CDC 2009»
    On trajectory optimization for active sensing in Gaussian process models
    13 years 11 months ago
    On trajectory optimization for active sensing in Gaussian process models
    Download  www.seas.upenn.edu
    Abstract— We consider the problem of optimizing the trajectory of a mobile sensor with perfect localization whose task is to estimate a stochastic, perhaps multidimensional fiel...
    Jerome Le Ny, George J. Pappas
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