Christian Plagemann

According to our database1, Christian Plagemann authored at least 41 papers between 2005 and 2012.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2012
Body Schema Learning.
Proceedings of the Towards Service Robots for Everyday Environments, 2012

Real-Time Human Pose Tracking from Range Data.
Proceedings of the Computer Vision - ECCV 2012, 2012

2010
A nonparametric learning approach to range sensing from omnidirectional vision.
Robotics and Autonomous Systems, 2010

Real-time identification and localization of body parts from depth images.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Real time motion capture using a single time-of-flight camera.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Upsampling range data in dynamic environments.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010


Planning and Failure Detection.
Proceedings of the Cognitive Systems, 2010

2009
A Bayesian regression approach to terrain mapping and an application to legged robot locomotion.
J. Field Robotics, 2009

Look-ahead Proposals for Robust Grid-based SLAM with Rao-Blackwellized Particle Filters.
I. J. Robotics Res., 2009

Learning gas distribution models using sparse Gaussian process mixtures.
Auton. Robots, 2009

Classifying dynamic objects.
Auton. Robots, 2009

Unsupervised discovery of object classes from range data using latent Dirichlet allocation.
Proceedings of the Robotics: Science and Systems V, University of Washington, Seattle, USA, June 28, 2009

Learning Kinematic Models for Articulated Objects.
Proceedings of the IJCAI 2009, 2009

Probabilistic situation recognition for vehicular traffic scenarios.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Modeling RFID signal strength and tag detection for localization and mapping.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008
Gaussian processes for flexible robot learning.
PhD thesis, 2008

Adaptive Body Scheme Models for Robust Robotic Manipulation.
Proceedings of the Robotics: Science and Systems IV, 2008

Gas Distribution Modeling using Sparse Gaussian Process Mixture Models.
Proceedings of the Robotics: Science and Systems IV, 2008

Classifying Dynamic Objects: An Unsupervised Learning Approach.
Proceedings of the Robotics: Science and Systems IV, 2008

Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Learning predictive terrain models for legged robot locomotion.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Efficiently learning high-dimensional observation models for Monte-Carlo localization using Gaussian mixtures.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Estimating landmark locations from geo-referenced photographs.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Unsupervised body scheme learning through self-perception.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Monocular range sensing: A non-parametric learning approach.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Gaussian mixture models for probabilistic localization.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders.
Proceedings of the Robotics: Science and Systems III, 2007

Adaptive Non-Stationary Kernel Regression for Terrain Modeling.
Proceedings of the Robotics: Science and Systems III, 2007

Autonomous blimp control using model-free reinforcement learning in a continuous state and action space.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Improved likelihood models for probabilistic localization based on range scans.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals.
Proceedings of the IJCAI 2007, 2007

Most likely heteroscedastic Gaussian process regression.
Proceedings of the Machine Learning, 2007

A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Look-Ahead Proposals for Robust Grid-Based SLAM.
Proceedings of the Field and Service Robotics, Results of the 6th International Conference, 2007

2006
Learning Relational Navigation Policies.
KI, 2006

Learning Relational Navigation Policies.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters.
Proceedings of the First European Robotics Symposium 2006, 2006

2005
Vision-Based 3D Object Localization Using Probabilistic Models of Appearance.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

Sequential Parameter Estimation for Fault Diagnosis in Mobile Robots Using Particle Filters.
Proceedings of the Autonome Mobile Systeme 2005, 2005


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