Christian Plagemann

Google Publications

Previous Publications

  •  

    Body Schema Learning

    Jürgen Sturm, Christian Plagemann, Wolfram Burgard

    Towards Service Robots for Everyday Environments (2012), pp. 131-161

  •  

    A nonparametric learning approach to range sensing from omnidirectional vision

    Christian Plagemann, Cyrill Stachniss, Jürgen Hess, Felix Endres, Nathan Franklin

    Robotics and Autonomous Systems, vol. 58 (2010), pp. 762-772

  •  

    A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving

    J. Zico Kolter, Christian Plagemann, David T. Jackson, Andrew Y. Ng, Sebastian Thrun

    ICRA (2010), pp. 839-845

  •  

    Assisted Highway Lane Changing with RASCL

    Richard Oliver Frankel, Olafur Gudmundsson, Brett Miller, Jordan Potter, Todd Sullivan, Salik Syed, Doreen Hoang, Jae Min John, Ki-Shui Liao, Pasha Nahass, Amanda Schwab, Jessica Yuan, David Stavens, Christian Plagemann, Clifford Nass, Sebastian Thrun

    AAAI Spring Symposium: Embedded Reasoning (2010)

  •  

    Real Time Motion Capture Using a Single Time-Of-Flight Camera

    Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun

    CVPR (2010)

  •  

    Real-time identification and localization of body parts from depth images

    Christian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun

    ICRA (2010), pp. 3108-3113

  •  

    Upsampling range data in dynamic environments

    Jennifer Dolson, Jongmin Baek, Christian Plagemann, Sebastian Thrun

    CVPR (2010), pp. 1141-1148

  •  

    A Bayesian regression approach to terrain mapping and an application to legged robot locomotion

    Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard

    J. Field Robotics, vol. 26 (2009), pp. 789-811

  •  

    Classifying dynamic objects

    Matthias Luber, Kai Oliver Arras, Christian Plagemann, Wolfram Burgard

    Auton. Robots, vol. 26 (2009), pp. 141-151

  •  

    Learning Kinematic Models for Articulated Objects

    Jürgen Sturm, Vijay Pradeep, Cyrill Stachniss, Christian Plagemann, Kurt Konolige, Wolfram Burgard

    IJCAI (2009), pp. 1851-1856

  •  

    Learning gas distribution models using sparse Gaussian process mixtures

    Cyrill Stachniss, Christian Plagemann, Achim J. Lilienthal

    Auton. Robots, vol. 26 (2009), pp. 187-202

  •  

    Look-ahead Proposals for Robust Grid-based SLAM with Rao-Blackwellized Particle Filters

    Slawomir Grzonka, Christian Plagemann, Giorgio Grisetti, Wolfram Burgard

    I. J. Robotic Res., vol. 28 (2009), pp. 191-200

  •  

    Modeling RFID signal strength and tag detection for localization and mapping

    Dominik Joho, Christian Plagemann, Wolfram Burgard

    ICRA (2009), pp. 3160-3165

  •  

    Probabilistic situation recognition for vehicular traffic scenarios

    Daniel Meyer-Delius, Christian Plagemann, Wolfram Burgard

    ICRA (2009), pp. 459-464

  •  

    Unsupervised discovery of object classes from range data using latent Dirichlet allocation

    Felix Endres, Christian Plagemann, Cyrill Stachniss, Wolfram Burgard

    Robotics: Science and Systems (2009)

  •  

    Adaptive Body Scheme Models for Robust Robotic Manipulation

    Jürgen Sturm, Christian Plagemann, Wolfram Burgard

    Robotics: Science and Systems (2008)

  •  

    Classifying Dynamic Objects: An Unsupervised Learning Approach

    Matthias Luber, Kai Oliver Arras, Christian Plagemann, Wolfram Burgard

    Robotics: Science and Systems (2008)

  •  

    Efficiently learning high-dimensional observation models for Monte-Carlo localization using Gaussian mixtures

    Patrick Pfaff, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard

    IROS (2008), pp. 3539-3544

  •  

    Estimating landmark locations from geo-referenced photographs

    Henrik Kretzschmar, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard

    IROS (2008), pp. 2902-2907

  •  

    Gas Distribution Modeling using Sparse Gaussian Process Mixture Models

    Cyrill Stachniss, Christian Plagemann, Achim J. Lilienthal, Wolfram Burgard

    Robotics: Science and Systems (2008)

  •  

    Gaussian mixture models for probabilistic localization

    Patrick Pfaff, Christian Plagemann, Wolfram Burgard

    ICRA (2008), pp. 467-472

  •  

    Learning predictive terrain models for legged robot locomotion

    Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard

    IROS (2008), pp. 3545-3552

  •  

    Monocular range sensing: A non-parametric learning approach

    Christian Plagemann, Felix Endres, Juergen Michael Hess, Cyrill Stachniss, Wolfram Burgard

    ICRA (2008), pp. 929-934

  •  

    Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness

    Christian Plagemann, Kristian Kersting, Wolfram Burgard

    ECML/PKDD (2) (2008), pp. 204-219

  •  

    Unsupervised body scheme learning through self-perception

    Jürgen Sturm, Christian Plagemann, Wolfram Burgard

    ICRA (2008), pp. 3328-3333

  •  

    A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems

    Daniel Meyer-Delius, Christian Plagemann, Georg von Wichert, Wendelin Feiten, Gisbert Lawitzky, Wolfram Burgard

    GfKl (2007), pp. 269-276

  •  

    Adaptive Non-Stationary Kernel Regression for Terrain Modeling

    Tobias Lang, Christian Plagemann, Wolfram Burgard

    Robotics: Science and Systems (2007)

  •  

    Autonomous blimp control using model-free reinforcement learning in a continuous state and action space

    Axel Rottmann, Christian Plagemann, Peter Hilgers, Wolfram Burgard

    IROS (2007), pp. 1895-1900

  •  

    Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals

    Christian Plagemann, Dieter Fox, Wolfram Burgard

    IJCAI (2007), pp. 2185-2190

  •  

    Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders

    Christian Plagemann, Kristian Kersting, Patrick Pfaff, Wolfram Burgard

    Robotics: Science and Systems (2007)

  •  

    Improved likelihood models for probabilistic localization based on range scans

    Patrick Pfaff, Christian Plagemann, Wolfram Burgard

    IROS (2007), pp. 2192-2197

  •  

    Look-Ahead Proposals for Robust Grid-Based SLAM

    Slawomir Grzonka, Christian Plagemann, Giorgio Grisetti, Wolfram Burgard

    FSR (2007), pp. 329-338

  •  

    Most likely heteroscedastic Gaussian process regression

    Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard

    ICML (2007), pp. 393-400

  •  

    Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters

    Christian Plagemann, Cyrill Stachniss, Wolfram Burgard

    EUROS (2006), pp. 93-107

  •  

    Learning Relational Navigation Policies

    Alexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt

    IROS (2006), pp. 2792-2797

  •  

    Sequential Parameter Estimation for Fault Diagnosis in Mobile Robots Using Particle Filters

    Christian Plagemann, Wolfram Burgard

    AMS (2005), pp. 197-202

  •  

    Vision-Based 3D Object Localization Using Probabilistic Models of Appearance

    Christian Plagemann, Thomas Müller, Wolfram Burgard

    DAGM-Symposium (2005), pp. 184-191