Yuandong Yang and Oliver Brock. Efficient Motion Planning Based on Disassembly. Proceedings of Robotics: Science and Systems, Cambridge, pp. 01-08, 2005.

Audrey Lee and Oliver Brock and Ileana Streinau. A Methodology for Efficiently Sampling the Conformation Space of Molecular Structures. Technical Report TR-05-40, Computer Science Department, University of Massachusetts Amherst, 2005.

Oliver Brock and TJ Brunette. Predicting Protein Structure with Guided Conformation Space Search. Technical Report TR-05-63, Department of Computer Science, University of Massachusetts Amherst, 2005.

Oliver Brock and Roderic Grupen. Final Report for the NSF/NASA Workshop on Autonomous Mobile Manipulation (AMM). Technical Report , Department of Computer Science, University of Massachusetts Amherst, 2005.

Brendan Burns and Oliver Brock and Brian Neil Levine. Autonomous Enhancement of Disruption Tolerant Networks. Proceedings of the International Conference on Advanced Robotics, 2006.

Brendan Burns and Oliver Brock. Utility-Guided Random Trees. TR-06-29, Department of Computer Science, University of Massachusetts Amherst, 2006.

Brendan Burns and Oliver Brock. Sampling-Based Motion Planning Using Uncertain Knowledge. Technical Report TR-06-30, Department of Computer Science, University of Massachusetts Amherst, 2006.

Dov Katz and Emily Horrell and Yuandong Yang and Brendan Burns and Thomas Buckley and Anna Grishkan and Volodymyr Zhylkovsky and Oliver Brock and Erik Learned-Miller. The UMass Mobile Manipulator UMan: An Experimental Platform for Autonomous Mobile Manipulation. Workshop on Manipulation in Human Environments at Robotics: Science and Systems, pp. 01-08, 2006.

Avi Herscovici and Oliver Brock. Improving High-Dimensional Bayesian Network Structure Learning by Exploiting Search Space Information. Technical Report TR-06-49, Department of Computer Science, University of Massachusetts Amherst, 2006.

Robert Platt and Robert Burridge and Myron Diftler and Jodi Graf and Mike Goza and Eric Huber and Oliver Brock. Humanoid Mobile Manipulation Using Controller Refinement. Proceedings of the IEEE International Conference on Humanoid Robots, pp. 94-101, 2006.

Brendan Burns. Exploiting Structure: A Guided Approach to Sampling-Based Robot Motion Planning. Ph.D.Thesis, University of Massachusetts Amherst, Amherst, Massachusetts, 2007. Download Bibtex Eintrag

Brendan Burns and Oliver Brock. Sampling-Based Motion Planning with Sensing Uncertainty. IEEE International Conference on Robotics and Automation, 2007.

Brendan Burns and Oliver Brock. Single-Query Motion Planning with Utility-Guided Random Trees. In Proceedings of the IEEE International Conference on Robotics and Automation, 2007.

Dov Katz and Oliver Brock. Interactive Perception: Closing the Gap Between Action and Perception. Workshop: From features to actions - Unifying perspectives in computational and robot vision at the IEEE International Conference on Robotics and Automation, pp. 1-9, 2007.

Dov Katz and Oliver Brock. Extracting Planar Kinematic Models Using Interactive Perception. Workshop on Robot Manipulation: Sensing and Adapting to the Real World at Robotics: Science and Systems, pp. 01-06, 2007.

Adam Belsom and Michael Schneider and Lutz Fischer and Oliver Brock and Juri Rappsilber. Serum Albumin Domain Structures in Human Blood Serum by Mass Spectrometry and Computational Biology. Molecular & Cellular Proteomics 15:1105-1116, 2016.

Michael Schneider and Adam Belsom and Juri Rappsilber and Oliver Brock. Blind Testing of Crosslinking/Mass Spectrometry Hybrid Methods in CASP11. Proteins: Structure, Function, and Bioinformatics :152-163, 2016.

Oliver Brock and Fancisco Valero-Cuevas. Transferring Synergies from Neuroscience to Robotics. Comment on "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by M. Santello et. al.. Physics of Life Reviews. Elsevier 17:pp. 27-32, 2016.

Pia Bideau, Erik Learned-Miller. It’s moving! A probabilistic model for causal motion segmentation in moving camera videos. European Conference on Computer Vision, 2016.

Pia Bideau, Erik Learned-Miller. A detailed rubric for motion segmentation. arXiv preprint arXiv:1610.10033 : 2016.

Mahmoud Mabrouk and Tim Werner and Michael Schneider and Ines Putz and Oliver Brock. Analysis of free modeling predictions by RBO aleph in CASP11. Proteins: Structure, Function, and Bioinformatics 84(Suppl 1):87–104, 2016.

Adam Belsom and Michael Schneider and Lutz Fischer and Mahmoud Mabrouk and Kolja Stahl and Oliver Brock and Juri Rappsilber. Blind testing cross-linking/mass spectrometry under the auspices of the 11th critical assessment of methods of protein structure prediction (CASP11) [version 1; referees: 1 approved]. Wellcome Open Research :1:24, 2016.

Nikolaus Correll and Kostas E. Bekris and Dmitry Berenson and Oliver Brock and Albert Causo and Kris Hauser and Kei Okada and Alberto Rodriguez and Joseph M. Romano and Peter R. Wurman. Lessons from the Amazon Picking Challenge. ArXiv e-prints : 2016.

Igor Mordatch and Nikhil Mishra and Clemens Eppner and Pieter Abbeel. Combining Model-Based Policy Search with Online Model Learning for Control of Physical Humanoids. Proceedings of the IEEE International Conference on Robotics and Automation, 2016.

Abhishek Gupta and Clemens Eppner and Sergey Levine and Pieter Abbeel. Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016.

Adam Belsom and Michael Schneider and Oliver Brock and Juri Rappsilber. Blind Evaluation of Hybrid Protein Structure Analysis Methods based on Cross-Linking. Trends in Biochemical Sciences 41(7):564 - 567, 2016.

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

Raphael Deimel and Oliver Brock. A Novel Type of Compliant and Underactuated Robotic Hand for Dexterous Grasping. The International Journal of Robotics Research 35(1-3):161-185, 2016.

Roberto Martín-Martín and Sebastian Höfer and Oliver Brock. An Integrated Approach to Visual Perception of Articulated Objects. Proceedings of the IEEE International Conference on Robotics and Automation, pp. 5091 - 5097, 2016.

Clemens Eppner and Sebastian Höfer and Rico Jonschkowski and Roberto Martín-Martín and Arne Sieverling and Vincent Wall and Oliver Brock. Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems. Proceedings of Robotics: Science and Systems, 2016.

Roberto Martín-Martín and Arne Sieverling and Oliver Brock. Estimating the Relation of Perception and Action During Interaction. International Workshop on Robotics in the 21st century: Challenges and Promises, 2016.

Raphael Deimel and Marcel Radke and Oliver Brock. Mass Control of Pneumatic Soft Continuum Actuators with Commodity Components. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 774–779, 2016.

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.

Steffen Puhlmann and Fabian Heinemann and Oliver Brock and Marianne Maertens. A Compact Representation of Human Single-Object Grasping. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1954-1959, 2016.

Sebastian Höfer and Oliver Brock. Coupled Learning of Action Parameters and Forward Models for Manipulation. IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3893-3899, 2016.

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.

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

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.

Kolja Stahl and Michael Schneider and Oliver Brock. EPSILON-CP: using deep learning to combine information from multiple sources for protein contact prediction. BMC Bioinformatics 18(1):303, 2017.

Manuel Baum and Matthew Bernstein and Roberto Martín-Martín and Sebastian Höfer and Johannes Kulick and Marc Toussaint and Alex Kacelnik and Oliver Brock. Opening a Lockbox through Physical Exploration. Proceedings of the IEEE International Conference on Humanoid Robots (Humanoids), 2017.

Manuel Baum and Oliver Brock. Achieving Robustness by Optimizing Failure Behavior. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 5806-5811, 2017.

Roberto Martín-Martín and Oliver Brock. Cross-Modal Interpretation of Multi-Modal Sensor Streams in Interactive Perception Based on Coupled Recursion. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3289-3295, 2017.

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.

Roberto Martín-Martín and Oliver Brock. Building Kinematic and Dynamic Models of Articulated Objects with Multi-Modal Interactive Perception. AAAI Symposium on Interactive Multi-Sensory Object Perception for Embodied Agents, 2017.

Arne Sieverling and Clemens Eppner and Felix Wolff and Oliver Brock. Interleaving Motion in Contact and in Free Space for Planning Under Uncertainty. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4011-4017, 2017.

Arne Sieverling and Clemens Eppner and Oliver Brock. Exploiting Contact for Efficient Motion Planning Under Uncertainty. RSS workshop: Revisiting Contact - Turning a problem into a solution, 2017.

Sebastian Höfer. On decomposability in robot reinforcement learning. Ph.D.Thesis, Technische Universität Berlin, Berlin, Germany, 2017. Download Bibtex Eintrag

Raphael Deimel. Soft robotic hands for compliant grasping. Ph.D.Thesis, Technische Universität Berlin, Berlin, Germany, 2017. Download Bibtex Eintrag

Clemens Eppner and Roberto Martín-Martín and Oliver Brock. Physics-Based Selection of Actions That Maximize Motion for Interactive Perception. RSS workshop: Revisiting Contact - Turning a problem into a solution, 2017.

Clemens Eppner and Oliver Brock. Visual Detection of Opportunities to Exploit Contact in Grasping Using Contextual Multi-Armed Bandits. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 273-278, 2017.

Vincent Wall and Gabriel Zöller and Oliver Brock. A Method for Sensorizing Soft Actuators and Its Application to the RBO Hand 2. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 4965–4970, 2017.

Elod Pall and Arne Sieverling and Oliver Brock. Towards Motion Plans That React to Contact Events. RSS workshop: Revisiting Contact - Turning a problem into a solution, 2017.

Jessica Abele and Oliver Brock. First Analysis of Environment Design for Motion Planning with Contact. RSS 17 workshop "Revisiting Contact - Turning a Problem into a Solution" : 2017.

Ines Putz and Oliver Brock. Elastic network model of learned maintained contacts to predict protein motion. PLOS ONE 12 (8):e0183889, 2017.

Raphael Deimel and Patrick Irmisch and Vincent Wall and Oliver Brock. Automated Co-Design of Soft Hand Morphology and Control Strategy for Grasping. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1213-1218, 2017.

Espen Knoop and Moritz Bächer and Vincent Wall and Raphael Deimel and Oliver Brock and Paul Beardsley. Handshakiness: Benchmarking for Human-Robot Hand Interactions. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4982-4989, 2017.

Keyan Ghazi-Zahedi and Raphael Deimel and Guido Montúfar and Vincent Wall and Oliver Brock. Morphological Computation: The Good, the Bad, and the Ugly. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 464-469, 2017.

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.

Pia Bideau, Aruni RoyChowdhury, Rakesh R Menon, Erik Learned-Miller. The best of both worlds: Combining cnns and geometric constraints for hierarchical motion segmentation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018.

Pia Bideau, Rakesh R Menon, Erik Learned-Miller. MoA-Net: self-supervised motion segmentation. Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018.

Clemens Eppner and Roberto Roberto Martín-Martín and Oliver Brock. Physics-Based Selection of Informative Actions for Interactive Perception. Proceedings of the IEEE International Conference on Robotics and Automation, pp. 7427-7432, 2018.

Sebastian Höfer, Jörg Raisch, Marc Toussaint, Oliver Brock. No Free Lunch in Ball Catching: A Comparison of Cartesian and Angular Representations for Control. PLoS ONE 13(6): 2018.

Niko Sünderhauf and Oliver Brock and Walter Scheirer and Raia Hadsell and Dieter Fox and Jürgen Leitner and Ben Upcroft and Pieter Abbeel and Wolfram Burgard and Michael Milford and Peter Corke. The limits and potentials of deep learning for robotics. The International Journal of Robotics Research 37(4-5):405-420, 2018.

Rico Jonschkowski, Divyam Rastogi and Oliver Brock. Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors. Proceedings of Robotics: Science and Systems, 2018.

Nikolaus Correll, Kostas E. Bekris, Dmitry Berenson, Oliver Brock, Albert Causo, Kris Hauser, Kei Okada, Alberto Rodriguez, Joseph M. Romano, Peter R. Wurman. Analysis and Observations From the First Amazon Picking Challenge. IEEE Transactions on Automation Science and Engineering 15(1):172-188, 2018.