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Dov Katz and Yuri Pyuro and Oliver Brock. Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation. Proceedings of Robotics: Science and Systems IV, pp. 254-261, 2008.

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Dov Katz and Andreas Orthey and Oliver Brock. Interactive Perception of Articulated Objects. Experimental Robotics: The 12th International Symposium on Experimental Robotics . Springer Berlin Heidelberg. Springer Tracts in Advanced Robotics 79:301-315, 2014. Berlin, Heidelberg.

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Dov Katz and Andreas Orthey and Oliver Brock. Interactive Perception of Articulated Objects. 12th International Symposium of Experimental Robotics, pp. 01-15, 2010.

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Dov Katz and Oliver Brock. A Factorization Approach to Manipulation in Unstructured Environments. 14th International Symposium of Robotics Research. Springer Verlag, pp. 1-16, 2009.

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Dov Katz. Interactive Perception of Articulated Objects for Autonomous Manipulation. Ph.D.Thesis, University of Massachusetts Amherst, Amherst. Massachusetts, 2011. Download Bibtex Eintrag


Florian Kamm. Using Tree-Based Robot Motion Planning Algorithms for Protein Loop Closure. Diploma Thesis, Institute of Biology, Humboldt University of Berlin, Germany, 2010. Download Bibtex Eintrag


Rico Jonschkowski and Oliver Brock. End-To-End Learnable Histogram Filters. Workshop on Deep Learning for Action and Interaction at NIPS, 2016.

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Rico Jonschkowski and Oliver Brock. Learning Task-Specific State Representations by Maximizing Slowness and Predictability. Proceedings of the 6th International Workshop on Evolutionary and Reinforcement Learning for Autonomous Robot Systems (ERLARS), 2013.

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Rico Jonschkowski and Oliver Brock. Towards Combining Robotic Algorithms and Machine Learning: End-To-End Learnable Histogram Filters. Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics at IROS, 2016.

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Rico Jonschkowski and Sebastian Höfer and Oliver Brock. Patterns for Learning with Side Information. arXiv:1511.06429 [cs.LG] : 2016.

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Rico Jonschkowski and Roland Hafner and Jonathan Scholz and Martin Riedmiller. PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations. New Frontiers for Deep Learning in Robotics Workshop at RSS, 2017.

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Rico Jonschkowski and Clemens Eppner and Sebastian Höfer and Roberto Martín-Martín and Oliver Brock. Probabilistic Multi-Class Segmentation for the Amazon Picking Challenge. IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1-7, 2016.

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Rico Jonschkowski and Oliver Brock. Learning State Representations with Robotic Priors. Autonomous Robots. Springer US 39(3):407-428, 2015.

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Rico Jonschkowski and Oliver Brock. State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction. Proceedings of Robotics: Science and Systems, 2014.

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Jeannette Bohg, Karol Hausman, Bharath Sankaran, Oliver Brock, Danica Kragic, Stefan Schaal, Gaurav S. Sukhatme. Interactive Perception: Leveraging Action in Perception and Perception in Action. IEEE Transactions on Robotics 33(6):1273-1291, 2017.

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