Christian Plagemann

43 papers A* 12A 6C 1Journal 7Unranked 14

Year	Rank	Type	Title / Venue / Authors
2012	—	`ch.`	Body Schema Learning. Towards Service Robots for Everyday Environments Jürgen Sturm, Christian Plagemann, Wolfram Burgard
2012	—	`conf`	Real-Time Human Pose Tracking from Range Data. ECCV (6) Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun
2010	J	`jnl`	A nonparametric learning approach to range sensing from omnidirectional vision. Robotics Auton. Syst. Christian Plagemann, Cyrill Stachniss, Jürgen Hess, Felix Endres, Nathan Franklin
2010	A*	`conf`	A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving. ICRA J. Zico Kolter, Christian Plagemann, David T. Jackson, Andrew Y. Ng, Sebastian Thrun
2010	—	`conf`	Assisted Highway Lane Changing with RASCL. AAAI Spring Symposium: Embedded Reasoning 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
2010	C	`conf`	Improving RFID-based indoor positioning accuracy using Gaussian processes. IPIN Fernando Seco, Christian Plagemann, Antonio Ramón Jiménez, Wolfram Burgard
2010	—	`ch.`	Planning and Failure Detection. Cognitive Systems Michael Brenner, Christian Plagemann, Bernhard Nebel, Wolfram Burgard, Nick Hawes
2010	A*	`conf`	Real time motion capture using a single time-of-flight camera. CVPR Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun
2010	A*	`conf`	Real-time identification and localization of body parts from depth images. ICRA Christian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun
2010	A*	`conf`	Upsampling range data in dynamic environments. CVPR Jennifer Dolson, Jongmin Baek, Christian Plagemann, Sebastian Thrun
2009	J	`jnl`	A Bayesian regression approach to terrain mapping and an application to legged robot locomotion. J. Field Robotics Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard
2009	J	`jnl`	Classifying dynamic objects. Auton. Robots Matthias Luber, Kai Oliver Arras, Christian Plagemann, Wolfram Burgard
2009	A*	`conf`	Learning Kinematic Models for Articulated Objects. IJCAI Jürgen Sturm, Vijay Pradeep, Cyrill Stachniss, Christian Plagemann, Kurt Konolige, Wolfram Burgard
2009	J	`jnl`	Learning gas distribution models using sparse Gaussian process mixtures. Auton. Robots Cyrill Stachniss, Christian Plagemann, Achim J. Lilienthal
2009	J	`jnl`	Look-ahead Proposals for Robust Grid-based SLAM with Rao-Blackwellized Particle Filters. Int. J. Robotics Res. Slawomir Grzonka, Christian Plagemann, Giorgio Grisetti, Wolfram Burgard
2009	A*	`conf`	Modeling RFID signal strength and tag detection for localization and mapping. ICRA Dominik Joho, Christian Plagemann, Wolfram Burgard
2009	A*	`conf`	Probabilistic situation recognition for vehicular traffic scenarios. ICRA Daniel Meyer-Delius, Christian Plagemann, Wolfram Burgard
2009	—	`conf`	Unsupervised discovery of object classes from range data using latent Dirichlet allocation. Robotics: Science and Systems Felix Endres, Christian Plagemann, Cyrill Stachniss, Wolfram Burgard
2008	—	`conf`	Adaptive Body Scheme Models for Robust Robotic Manipulation. Robotics: Science and Systems Jürgen Sturm, Christian Plagemann, Wolfram Burgard
2008	—	`conf`	Classifying Dynamic Objects: An Unsupervised Learning Approach. Robotics: Science and Systems Matthias Luber, Kai Oliver Arras, Christian Plagemann, Wolfram Burgard
2008	A	`conf`	Efficiently learning high-dimensional observation models for Monte-Carlo localization using Gaussian mixtures. IROS Patrick Pfaff, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard
2008	A	`conf`	Estimating landmark locations from geo-referenced photographs. IROS Henrik Kretzschmar, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard
2008	—	`conf`	Gas Distribution Modeling using Sparse Gaussian Process Mixture Models. Robotics: Science and Systems Cyrill Stachniss, Christian Plagemann, Achim J. Lilienthal, Wolfram Burgard
2008	A*	`conf`	Gaussian mixture models for probabilistic localization. ICRA Patrick Pfaff, Christian Plagemann, Wolfram Burgard
2008	—	`—`	Gaussian processes for flexible robot learning. Christian Plagemann
2008	A	`conf`	Learning predictive terrain models for legged robot locomotion. IROS Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard
2008	A*	`conf`	Monocular range sensing: A non-parametric learning approach. ICRA Christian Plagemann, Felix Endres, Jürgen Hess, Cyrill Stachniss, Wolfram Burgard
2008	—	`conf`	Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness. ECML/PKDD (2) Christian Plagemann, Kristian Kersting, Wolfram Burgard
2008	A*	`conf`	Unsupervised body scheme learning through self-perception. ICRA Jürgen Sturm, Christian Plagemann, Wolfram Burgard
2007	—	`conf`	A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems. GfKl Daniel Meyer-Delius, Christian Plagemann, Georg von Wichert, Wendelin Feiten, Gisbert Lawitzky, Wolfram Burgard
2007	—	`conf`	Adaptive Non-Stationary Kernel Regression for Terrain Modeling. Robotics: Science and Systems Tobias Lang, Christian Plagemann, Wolfram Burgard
2007	A	`conf`	Autonomous blimp control using model-free reinforcement learning in a continuous state and action space. IROS Axel Rottmann, Christian Plagemann, Peter Hilgers, Wolfram Burgard
2007	A*	`conf`	Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals. IJCAI Christian Plagemann, Dieter Fox, Wolfram Burgard
2007	—	`conf`	Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders. Robotics: Science and Systems Christian Plagemann, Kristian Kersting, Patrick Pfaff, Wolfram Burgard
2007	A	`conf`	Improved likelihood models for probabilistic localization based on range scans. IROS Patrick Pfaff, Christian Plagemann, Wolfram Burgard
2007	J	`jnl`	Learning to transfer optimal navigation policies. Adv. Robotics Kristian Kersting, Christian Plagemann, Alexandru Cocora, Wolfram Burgard, Luc De Raedt
2007	—	`conf`	Look-Ahead Proposals for Robust Grid-Based SLAM. FSR Slawomir Grzonka, Christian Plagemann, Giorgio Grisetti, Wolfram Burgard
2007	A*	`conf`	Most likely heteroscedastic Gaussian process regression. ICML Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard
2006	—	`conf`	Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters. EUROS Christian Plagemann, Cyrill Stachniss, Wolfram Burgard
2006	A	`conf`	Learning Relational Navigation Policies. IROS Alexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt
2006	J	`jnl`	Learning Relational Navigation Policies. Künstliche Intell. Alexandru Cocora, Kristian Kersting, Wolfram Burgard, Luc De Raedt, Christian Plagemann
2005	—	`conf`	Sequential Parameter Estimation for Fault Diagnosis in Mobile Robots Using Particle Filters. AMS Christian Plagemann, Wolfram Burgard
2005	—	`conf`	Vision-Based 3D Object Localization Using Probabilistic Models of Appearance. DAGM-Symposium Christian Plagemann, Thomas Müller, Wolfram Burgard