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Sebastian Höfer and Tobias Lang and Oliver Brock. Extracting Kinematic Background Knowledge from Interactions Using Task-Sensitive Relational Learning. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 4342-4347, 2014.

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Sebastian Höfer and Antonin Raffin and Rico Jonschkowski and Oliver Brock and Freek Stulp. Unsupervised Learning of State Representations for Multiple Tasks. Workshop on Deep Learning for Action and Interaction at NIPS, 2016.

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Filip Jagodzinski and Oliver Brock. Towards a Mechanistic View of Protein Motion. Proceedings of the IEEE Conference on Decision and Control, pp. 4557-4562, 2007.

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Filip Jagodzinski and Oliver Brock. Using a Mechanistic Perspective to Simulate Protein Backbone Motion. Poster presentation at Annual Symposium of the Protein Society :510, 2007.

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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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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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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


Dov Katz and Oliver Brock. Extracting Planar Kinematic Models Using Interactive Perception. In Unifying Perspectives In Computational and Robot Vision (8):11-23, 2008.

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