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Inhalt des Dokuments

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TJ Brunette and Oliver Brock. Model-Based Search to Determine Minima in Molecular Energy Landscapes [20]. TR-04-48, Department of Computer Science, University of Massachusetts Amherst, 2004.

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TJ Brunette. Adaptive Balancing of Exploitation with Exploration to Improve Protein Structure Prediction [22]. Ph.D.Thesis, University of Massachusetts Amherst, , 2011. Download Bibtex Eintrag [23]


Marcus Buckmann and Robert Gaschler and Sebastian Höfer and Dennis Loeben and Peter A. Frensch and Oliver Brock. Learning to Explore the Structure of Kinematic Objects in a Virtual Environment [24]. Frontiers in Psychology 6(374): 2015.

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Brendan Burns and Oliver Brock and Brian Neil Levine. Autonomous Enhancement of Disruption Tolerant Networks [26]. Proceedings of the International Conference on Advanced Robotics, 2006.

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Brendan Burns and Oliver Brock. Sampling-Based Motion Planning with Sensing Uncertainty [28]. IEEE International Conference on Robotics and Automation, 2007.

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Brendan Burns and Oliver Brock. Single-Query Motion Planning with Utility-Guided Random Trees [30]. In Proceedings of the IEEE International Conference on Robotics and Automation, 2007.

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Brendan Burns and Oliver Brock. Utility-Guided Random Trees [32]. TR-06-29, Department of Computer Science, University of Massachusetts Amherst, 2006.

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Brendan Burns and Oliver Brock. Sampling-Based Motion Planning Using Uncertain Knowledge [34]. Technical Report TR-06-30, Department of Computer Science, University of Massachusetts Amherst, 2006.

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Brendan Burns and Oliver Brock. Sampling-Based Motion Planning Using Predictive Models [36]. Proceedings of the International Conference on Advanced Robotics, pp. 3120-3125, 2005.

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Brendan Burns and Oliver Brock. Single-Query Entropy-Guided Path Planning [38]. Proceedings of the International Conference on Advanced Robotics, pp. 2124-2129, 2005.

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Brendan Burns and Oliver Brock. Toward Optimal Configuration Space Sampling [40]. Proceedings of Robotics: Science and Systems, pp. 105-112, 2005.

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Brendan Burns and Oliver Brock. Model-Based Motion Planning [42]. TR-04-32, Department of Computer Science, University of Massachusetts Amherst, 2004.

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Brendan Burns and Oliver Brock. Single-Query Entropy-Guided Motion Planning [44]. Technical Report TR-04-76, Department of Computer Science, University of Massachusetts Amherst, 2004.

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Brendan Burns and Oliver Brock and Brian N. Levine. MORA Routing and Capacity Building in Disruption-Tolerant Networks [46]. Ad Hoc Networks, pp. 600-620, 2008.

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Brendan Burns and Oliver Brock and Brian Neil Levine. MV Routing and Autonomous Capacity Building in Disruption Tolerant Networks [48]. Proceedings of the Conference of the IEEE Communications Society (INFOCOM) :1-11, 2005. Miami, USA

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Publikationen

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Roberto Martín-Martín and Clemens Eppner and Oliver Brock. The RBO dataset of articulated objects and interactions [75]. The International Journal of Robotics Research 39(9):1013-1019, 2019.

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Roberto Martín-Martín and Oliver Brock. Coupled recursive estimation for online interactive perception of articulated objects [77]. The International Journal of Robotics Research OnlineFirst:1-33, 2019.

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Michael Schneider, Xiaoran Fu, and Amy E. Keating. X-ray vs. NMR structures as templates for computational protein design [79]. Proteins: Structure, Function and Bioinformatics 77(1):97-110, 2009.

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Michael Schneider, Steffen Wolf, Juergen Schlitter, and Klaus Gerwert. The structure of active opsin as a basis for identification of GPCR agonists by dynamic homology modelling and virtual screening assays [81]. FEBS Letters 585(22):3587-3592, 2011.

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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 [83]. Proceedings of the IEEE International Conference on Robotics and Automation, 2016.

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Marco Morik and Divyam Rastogi and Rico Jonschkowski and Oliver Brock. State Representation Learning with Robotic Priors for Partially Observable Environments [85]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) :accepted, 2019.

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Melinda Florina Müller. Roboter und Recht [87]. Aktuelle Juristische Praxis (AJP/PJA) (5):595-608, 2014.

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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 [89]. IEEE Transactions on Automation Science and Engineering 15(1):172-188, 2018.

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Andreas Orthey. 3D Joint Detection [91]. Bachelor's thesis, Department of Electrical Engineering and Computer Science, Berlin University of Technology, Berlin, Germany, 2011. Download Bibtex Eintrag [92]


Stefan Otte and Johannes Kulick and Marc Toussaint and Oliver Brock. Entropy Based Strategies for Physical Exploration of the Environment's Degrees of Freedom [93]. IEEE International Conference on Intelligent Robots and Systems, 2014.

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Elod Pall and Arne Sieverling and Oliver Brock. Towards Motion Plans That React to Contact Events [95]. RSS workshop: Revisiting Contact - Turning a problem into a solution, 2017.

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Elod Pall and Arne Sieverling and Oliver Brock. Contingent Contact-Based Motion Planning [97]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6615–6621, 2018.

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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.

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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.

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

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Pia Bideau, Rakesh R Menon, Erik Learned-Miller. MoA-Net: self-supervised motion segmentation [102]. Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018.

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Robert Platt and Oliver Brock and Andrew H. Fagg and Deepak Karupiah and Michael Rosenstein and Jefferson Coelho and Manfred Huber and Justus Piater and David Wheeler and Roderic A. Grupen. A Framework for Humanoid Control and Intelligence [104]. Proceedings of the IEEE International Conference on Humanoid Robots, pp. 01-20, 2003.

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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 [106]. Proceedings of the IEEE International Conference on Humanoid Robots, pp. 94-101, 2006.

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Maria Pozzi and Eder Miguel and Raphael Deimel and Monica Malvezzi and Bernd Bickel and Oliver Brock and Domenico Prattichizzo. Efficient FEM-Based Simulation of Soft Robots Modeled as Kinematic Chains [108]. Proceedings of the IEEE International Conference on Robotics and Automation, pp. 1-8, 2018.

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Steffen Puhlmann and Fabian Heinemann and Oliver Brock and Marianne Maertens. A Compact Representation of Human Single-Object Grasping [110]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1954-1959, 2016.

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Ines Putz and Oliver Brock. Elastic network model of learned maintained contacts to predict protein motion [112]. PLOS ONE 12 (8):e0183889, 2017.

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Emma M Rath and Dominique Tessier and Alexander A Campbell and Hong Ching Lee and Tim Werner and Noeris K Salam and Lawrence K Lee and W Bret Church. A benchmark server using high resolution protein structure data, and benchmark results for membrane helix predictions. [114]. BMC bioinformatics 14: 2013.

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Markus Rickert and Arne Sieverling and Oliver Brock. Balancing Exploration and Exploitation in Sampling-Based Motion Planning [116]. IEEE Transactions on Robotics 30(6):1305-1317, 2014.

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Markus Rickert and Oliver Brock and Alois Knoll. Balancing Exploration and Exploitation in Motion Planning [118]. IEEE International Conference on Robotics and Automation, pp. 2812-2817, 2008.

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Markus Rickert. Efficient Motion Planning for Intuitive Task Execution in Modular Manipulation Systems [120]. Ph.D.Thesis, Technische Universität München, Munich, Germany, 2011. Download Bibtex Eintrag [121]


Rico Jonschkowski, Divyam Rastogi and Oliver Brock. Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors [122]. Proceedings of Robotics: Science and Systems, 2018.

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Mike Rosenstein and Robert Platt and Patrick Deegan and John Sweeney and Oliver Brock and Andrew Fagg and Roderic Grupen. Haptic Coupling of Dexterous Manipulation and Dynamic Mobility [124]. Video Proceedings of the IEEE International Conference on Humanoid Robots, 2004.

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Michael Schneider and Adam Belsom and Juri Rappsilber and Oliver Brock. Blind Testing of Crosslinking/Mass Spectrometry Hybrid Methods in CASP11 [126]. Proteins: Structure, Function, and Bioinformatics :152-163, 2016.

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Michael Schneider and Oliver Brock. Combining Physicochemical and Evolutionary Information for Protein Contact Prediction [128]. PLOS ONE 9(10):e108438, 2014.

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Michael Schneider. Leveraging Novel Information Sources for Protein Structure Prediction [130]. Ph.D.Thesis : 2015.

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Sebastian Höfer, Jörg Raisch, Marc Toussaint, Oliver Brock. No Free Lunch in Ball Catching: A Comparison of Cartesian and Angular Representations for Control [132]. PLoS ONE 13(6): 2018.

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Arne Sieverling and Clemens Eppner and Felix Wolff and Oliver Brock. Interleaving Motion in Contact and in Free Space for Planning Under Uncertainty [134]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4011-4017, 2017.

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Arne Sieverling and Clemens Eppner and Oliver Brock. Exploiting Contact for Efficient Motion Planning Under Uncertainty [136]. RSS workshop: Revisiting Contact - Turning a problem into a solution, 2017.

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Arne Sieverling and Nicolas Kuhnen and Oliver Brock. Sensor-Based, Task-Constrained Motion Generation Under Uncertainty [138]. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 4348-4355, 2014.

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Michael Spranger and Sebastian Höfer and Manfred Hild. Biologically Inspired Posture Recognition and Posture Change Detection for Humanoid Robots [140]. IEEE International Conference on Robotics and Biomimetics, pp. 562-567, 2009.

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Kolja Stahl and Michael Schneider and Oliver Brock. EPSILON-CP: using deep learning to combine information from multiple sources for protein contact prediction [142]. BMC Bioinformatics 18(1):303, 2017.

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Luc Steels and Michael Spranger and Remi van Trijp and Sebastian Höfer and Manfred Hild. Emergent Action Language on Real Robots [144]. Language Grounding in Robots. Springer (US), chap. 13, 255-276, 2012.

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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 [146]. The International Journal of Robotics Research 37(4-5):405-420, 2018.

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Dragoljub Surdilovic and Yelve Yakut and T-M. Nguyen and X. B. Pham and Axel Vick and Roberto Martín-Martín. Compliance Control with Dual-Arm Humanoid Robots: Design, Planning and Programming [148]. Proceedings of the International Conference on Humanoid Robots, pp. 275-281, 2010.

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Bryan Thibodeau and Stephen W. Hart and Deepak R. Karuppiah and John D. Sweeney and Oliver Brock. A Cascaded Filter Approach to Multi-objective Control [150]. Proceedings of the International Conference on Advanced Robotics, pp. 3877-3882, 2004.

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Marc Toussaint and Helge J. Ritter and Oliver Brock. The Optimization Route to Robotics - and Alternatives [152]. KI 29(4):379-388, 2015.

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Alexander Verl and Alin Albu-Schäffer and Oliver Brock and Annika Raatz. Soft Robotics [154]. Springer-Verlag Berlin Heidelberg, 2015.

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Vincent Wall and Oliver Brock. Multi-Task Sensorization of Soft Actuators Using Prior Knowledge [156]. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 9416–9421, 2019.

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Vincent Wall and Raphael Deimel and Oliver Brock. Selective Stiffening of Soft Actuators Based on Jamming [158]. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 252-257, 2015.

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Vincent Wall and Gabriel Zöller and Oliver Brock. A Method for Sensorizing Soft Actuators and Its Application to the RBO Hand 2 [160]. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 4965–4970, 2017.

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Lars Werner and Helge Müller-Fielitz and Manuela Ritzal and Tim Werner and Moritz Rossner and Markus Schwaninger. Involvement of doublecortin-expressing cells in the arcuate nucleus in body weight regulation [162]. Endocrinology 153(6):2655–2664, 2012.

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Tim Werner and Tim Geppert and Yusuf Tanrikulu and Ewgenij Proschak and Gisbert Schneider. Pseudoreceptor-based pocket selection in a molecular dynamics simulation of the histamine H4 receptor [164]. Chemistry Central Journal 3: 2009.

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Tim Werner and W Bret Church. Kink characterization and modeling in transmembrane protein structures [166]. Journal of chemical information and modeling 53(11):2926–2936, 2013.

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Tim Werner and Michael B Morris and Siavoush Dastmalchi and W Bret Church. Structural modelling and dynamics of proteins for insights into drug interactions [168]. Advanced drug delivery reviews 64(4):323–343, 2012.

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Tim Werner and Kerstin Sanderr and Yusuf Tanrikulu and Tim Kottke and Ewgenij Proschak and Holger Stark and Gisbert Schneider. In silico characterization of ligand binding modes in the human histamine H4 receptor and their impact on receptor activation [170]. Chembiochem : a European journal of chemical biology 11(13): 2010.

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