Gabriel Zöller and Vincent Wall and Oliver Brock. Active Acoustic Contact Sensing for Soft Pneumatic Actuators [9]. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2020.

Francesca Negrello, Werner Friedl, Giorgio Grioli, Manolo Garabini, Oliver Brock, Antonio Bicchi, Máximo A. Roa, Manuel G. Catalano. Benchmarking Hand and Grasp Resilience to Dynamic Loads [11]. IEEE Robotics and Automation Letters 5(2):1780-1787, 2020.

Zhipeng Tang, Fabien Delattre, Pia Bideau, Mark D Corner, Erik Learned-Miller. C-14: assured timestamps for drone videos. Proceedings of the 26th Annual International Conference on Mobile Computing and Networking, 2020.

Pia Bideau. Motion Segmentation-Segmentation of Independently Moving Objects in Video. PhD Thesis, , , 2020. Download Bibtex Eintrag [14]

Lee Clement and Valentin Peretroukhin and Matthew Giamou and John Leonard and Hadas Kress-Gazit and Jonathan How and Michael Milford and Oliver Brock and Ryan Gariepy and Nicholas Roy and Hallie Siegel and Ludovic Righetti and Aude Billard and Jonathan Kelly. Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field] [15]. IEEE Robotics & Automation Magazine 26(3):7-10, 2019.

Roberto Martín-Martín and Oliver Brock. Coupled recursive estimation for online interactive perception of articulated objects [17]. The International Journal of Robotics Research OnlineFirst:1-33, 2019.

Vincent Wall and Oliver Brock. Multi-Task Sensorization of Soft Actuators Using Prior Knowledge [19]. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 9416–9421, 2019.

Roberto Martín-Martín and Clemens Eppner and Oliver Brock. The RBO dataset of articulated objects and interactions [21]. The International Journal of Robotics Research 39(9):1013-1019, 2019.

Marco Morik and Divyam Rastogi and Rico Jonschkowski and Oliver Brock. State Representation Learning with Robotic Priors for Partially Observable Environments [23]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) :accepted, 2019.

Clemens Eppner and Sebastian Höfer and Rico Jonschkowski and Roberto Martín-Martín and Arne Sieverling and Vincent Wall and Oliver Brock. Four aspects of building robotic systems: lessons from the Amazon Picking Challenge 2015 [25]. Autonomous Robots. Springer US 42(7):1459–1475, 2018.

Elod Pall and Arne Sieverling and Oliver Brock. Contingent Contact-Based Motion Planning [27]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6615–6621, 2018.

Gabriel Zöller and Vincent Wall and Oliver Brock. Acoustic Sensing for Soft Pneumatic Actuators [29]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6986–6991, 2018.

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 [31]. Proceedings of the IEEE International Conference on Robotics and Automation, pp. 1-8, 2018.

Can Erdogan and Armin Schröder and Oliver Brock. Coordination of Intrinsic and Extrinsic Degrees of Freedom in Soft Robotic Grasping [33]. Proceedings of the IEEE International Conference on Robotics and Automation, pp. 1-6, 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 [35]. IEEE Transactions on Automation Science and Engineering 15(1):172-188, 2018.

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 [38]. 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 [40]. 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 [42]. 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 [44]. 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 [46]. Proceedings of Robotics: Science and Systems, 2018.

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 [48]. IEEE Transactions on Robotics 33(6):1273-1291, 2017.

Raphael Deimel and Patrick Irmisch and Vincent Wall and Oliver Brock. Automated Co-Design of Soft Hand Morphology and Control Strategy for Grasping [50]. 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 [52]. 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 [54]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 464-469, 2017.

Ines Putz and Oliver Brock. Elastic network model of learned maintained contacts to predict protein motion [56]. PLOS ONE 12 (8):e0183889, 2017.

Elod Pall and Arne Sieverling and Oliver Brock. Towards Motion Plans That React to Contact Events [58]. 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 [60]. RSS 17 workshop "Revisiting Contact - Turning a Problem into a Solution" : 2017.

Vincent Wall and Gabriel Zöller and Oliver Brock. A Method for Sensorizing Soft Actuators and Its Application to the RBO Hand 2 [62]. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 4965–4970, 2017.

Kolja Stahl and Michael Schneider and Oliver Brock. EPSILON-CP: using deep learning to combine information from multiple sources for protein contact prediction [64]. 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 [66]. Proceedings of the IEEE International Conference on Humanoid Robots (Humanoids), 2017.

Manuel Baum and Oliver Brock. Achieving Robustness by Optimizing Failure Behavior [68]. 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 [70]. 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 [72]. 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 [74]. 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 [76]. 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 [78]. RSS workshop: Revisiting Contact - Turning a problem into a solution, 2017.

Sebastian Höfer. On decomposability in robot reinforcement learning [80]. Ph.D.Thesis, Technische Universität Berlin, Berlin, Germany, 2017. Download Bibtex Eintrag [81]

Raphael Deimel. Soft robotic hands for compliant grasping [82]. Ph.D.Thesis, Technische Universität Berlin, Berlin, Germany, 2017. Download Bibtex Eintrag [83]

Clemens Eppner and Roberto Martín-Martín and Oliver Brock. Physics-Based Selection of Actions That Maximize Motion for Interactive Perception [84]. 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 [86]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 273-278, 2017.

Rico Jonschkowski and Oliver Brock. End-To-End Learnable Histogram Filters [88]. 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 [90]. Workshop on Deep Learning for Action and Interaction at NIPS, 2016.

Raphael Deimel and Marcel Radke and Oliver Brock. Mass Control of Pneumatic Soft Continuum Actuators with Commodity Components [92]. 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 [94]. 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 [96]. 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 [98]. 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 [100]. IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1-7, 2016.

Roberto Martín-Martín and Arne Sieverling and Oliver Brock. Estimating the Relation of Perception and Action During Interaction [102]. International Workshop on Robotics in the 21st century: Challenges and Promises, 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 [104]. Proceedings of Robotics: Science and Systems, 2016.