openEASE related publications

Overview: Cognition-enabled Control

[1] Michael Beetz, Dominik Jain, Lorenz Mösenlechner, Moritz Tenorth, Lars Kunze, Nico Blodow, Dejan Pangercic, "Cognition-Enabled Autonomous Robot Control for the Realization of Home Chore Task Intelligence", In Proceedings of the IEEE, vol. 100, no. 8, pp. 2454-2471, 2012. [bib]
[2] Michael Beetz, Ulrich Klank, Ingo Kresse, Alexis Maldonado, Lorenz Mösenlechner, Dejan Pangercic, Thomas Rühr, Moritz Tenorth, "Robotic Roommates Making Pancakes", In 11th IEEE-RAS International Conference on Humanoid Robots, Bled, Slovenia, 2011. [bib] [pdf]
[3] Michael Beetz, Lorenz Mösenlechner, Moritz Tenorth, "CRAM -- A Cognitive Robot Abstract Machine for Everyday Manipulation in Human Environments", In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, pp. 1012-1017, 2010. [bib] [pdf]

Knowledge Bases of Robot Experience Data

[4] Fereshta Yazdani, Matthias Scheutz, Michael Beetz, "Cognition-enabled Task Interpretation for Human-Robot Teams in a Simulation-based Search and Rescue Mission (Extended Abstract)", In Proceedings of the 2017 International Conference on Autonomous Agents, 2017. Accepted for publication [bib]
[5] Jan Winkler, Asil Kaan Bozcuoglu, Mihai Pomarlan, Michael Beetz, "Task Parametrization through Multi-modal Analysis of Robot Experiences (Extended Abstract)", In Proceedings of the 2017 International Conference on Autonomous Agents, 2017. Accepted for publication [bib]
[6] Asil Kaan Bozcuoglu, Michael Beetz, "A Cloud Service for Robotic Mental Simulations", In International Conference on Robotics and Automation (ICRA), Singapore, 2017. Accepted for publication [bib]
[7] Zhou Fang, Georg Bartels, Michael Beetz, "Learning Models for Constraint-Based Motion Parameterization from Interactive Physics-based Simulation", In International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 2016. [bib] [pdf]
[8] Moritz Tenorth, Jan Winkler, Daniel Beßler, Michael Beetz, "Open-EASE -- A Cloud-Based Knowledge Service for Autonomous Learning", In KI -- Künstliche Intelligenz, Springer Berlin Heidelberg, 2015. [bib] [doi]
[9] Georg Bartels, Daniel Beßler, Michael Beetz, Moritz Tenorth, Jan Winkler, "How to Use OpenEASE: An Online Knowledge Processing System for Robots and Robotics Researchers", In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Istanbul, Turkey, 2015. [bib] [pdf]
[10] Asil Kaan Bozcuoglu, Daniel Beßler, Michael Beetz, "Rendering Semantically-Annotated Experiment Videos out of Robot Memories", In Proceedings of the IEEE-RAS International Conference on Humanoid Robots, Seoul, Korea, 2015. [bib]
[11] Jan Winkler, Moritz Tenorth, Asil Kaan Bozcuoglu, Michael Beetz, "CRAMm -- Memories for Robots Performing Everyday Manipulation Activities", In Advances in Cognitive Systems, vol. 3, pp. 47-66, 2014. [bib]
[12] Lorenz Mösenlechner, Nikolaus Demmel, Michael Beetz, "Becoming Action-aware through Reasoning about Logged Plan Execution Traces", In IEEE/RSJ International Conference on Intelligent RObots and Systems., Taipei, Taiwan, pp. 2231-2236, 2010. [bib]

Cognitive Robot Abstract Machine

[13] Jan Winkler, Georg Bartels, Lorenz Mösenlechner, Michael Beetz, "Knowledge Enabled High-Level Task Abstraction and Execution", In First Annual Conference on Advances in Cognitive Systems, vol. 2, no. 1, Palo Alto, CA, pp. 131-148, 2012. [bib] [pdf]
[14] Lorenz Mösenlechner, Michael Beetz, "Fast Temporal Projection Using Accurate Physics-Based Geometric Reasoning", In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, pp. 1821-1827, 2013. [bib]
[15] Lorenz Mösenlechner, Michael Beetz, "Parameterizing Actions to have the Appropriate Effects", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), San Francisco, CA, USA, 2011. [bib]
[16] Michael Beetz, Lorenz Mösenlechner, Moritz Tenorth, "CRAM -- A Cognitive Robot Abstract Machine for Everyday Manipulation in Human Environments", In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, pp. 1012-1017, 2010. [bib] [pdf]

Knowledge Representation and Processing

[17] Luis Riazuelo, Moritz Tenorth, Daniel Di Marco, Marta Salas, Dorian Gálvez-López, Lorenz Mösenlechner, Lars Kunze, Michael Beetz, Juan D. Tardós, Luis Montano, J. M. M. Montiel, "RoboEarth Semantic Mapping: A Cloud Enabled Knowledge-Based Approach", In IEEE Transactions on Automation Science and Engineering (T-ASE), 2015. [bib] [pdf]
[18] Asil Kaan Bozcuoglu, Fereshta Yazdani, Daniel Beßler, Bogdan Togorean, Michael Beetz, "Reasoning on Communication Between Agents in a Human-Robot Rescue Team", In Towards Intelligent Social Robots – Current Advances in Cognitive Robotics, Seoul, Korea, 2015. [bib]
[19] Ferenc Balint-Benczedi, Thiemo Wiedemeyer, Moritz Tenorth, Daniel Beßler, Michael Beetz, "A Knowledge-Based Approach to Robotic Perception using Unstructured Information Management", In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Istanbul, Turkey, 2015. [bib]
[20] Lars Kunze, Michael Beetz, "Envisioning the qualitative effects of robot manipulation actions using simulation-based projections", In Artificial Intelligence, 2015. [bib] [pdf] [doi]
[21] Moritz Tenorth, Michael Beetz, "KnowRob -- A Knowledge Processing Infrastructure for Cognition-enabled Robots", In Int. Journal of Robotics Research, vol. 32, no. 5, pp. 566 - 590, 2013. [bib] [pdf]
[22] Moritz Tenorth, Stefan Profanter, Ferenc Balint-Benczedi, Michael Beetz, "Decomposing CAD Models of Objects of Daily Use and Reasoning about their Functional Parts", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo Big Sight, Japan, pp. 5943-5949, 2013. [bib] [pdf]

Perception

[23] Ferenc Balint-Benczedi, Patrick Mania, Michael Beetz, "Scaling Perception Towards Autonomous Object Manipulation --- In Knowledge Lies the Power", In International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 2016. [bib] [pdf]
[24] Jan-Hendrik Worch, Ferenc Bálint-Benczédi, Michael Beetz, "Perception for Everyday Human Robot Interaction", In KI - Künstliche Intelligenz, Springer Berlin-Heidelberg, vol. 30, no. 1, pp. 21-27, 2015. [bib] [pdf] [doi]
[25] Michael Beetz, Ferenc Balint-Benczedi, Nico Blodow, Daniel Nyga, Thiemo Wiedemeyer, Zoltan-Csaba Marton, "RoboSherlock: Unstructured Information Processing for Robot Perception", In IEEE International Conference on Robotics and Automation (ICRA), Seattle, Washington, USA, 2015. Best Service Robotics Paper Award [bib] [pdf]
[26] Thiemo Wiedemeyer, Ferenc Balint-Benczedi, Michael Beetz, "Pervasive 'Calm' Perception for Autonomous Robotic Agents", In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagen Systems, ACM, Istanbul, Turkey, 2015. [bib] [pdf]
[27] Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Oscar Martines Mozos, Nico Blodow, Asako Kanezaki, Lucian-Cosmin Goron, Dejan Pangercic, Michael Beetz, "Part-Based Geometric Categorization and Object Reconstruction in Cluttered Table-Top Scenes", In Journal of Intelligent and Robotic Systems, Springer Netherlands, pp. 1-22, 2014. [bib] [pdf] [doi]
[28] Daniel Nyga, Ferenc Balint-Benczedi, Michael Beetz, "PR2 Looking at Things: Ensemble Learning for Unstructured Information Processing with Markov Logic Networks", In IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014. [bib] [pdf]
[29] Moritz Tenorth, Stefan Profanter, Ferenc Balint-Benczedi, Michael Beetz, "Decomposing CAD Models of Objects of Daily Use and Reasoning about their Functional Parts", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo Big Sight, Japan, pp. 5943-5949, 2013. [bib] [pdf]
[30] Zoltan-Csaba Marton, Florian Seidel, Ferenc Balint-Benczedi, Michael Beetz, "Ensembles of Strong Learners for Multi-cue Classification", In Pattern Recognition Letters (PRL), Special Issue on Scene Understandings and Behaviours Analysis, 2012. [bib] [pdf]

Human Activity Models

[31] Moritz Tenorth, Fernando De la Torre, Michael Beetz, "Learning Probability Distributions over Partially-Ordered Human Everyday Activities", In IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, pp. 4539-4544, 2013. [bib] [pdf]
[32] Sebastian Albrecht, Karinne Ramirez-Amaro, Federico Ruiz-Ugalde, David Weikersdorfer, Marion Leibold, Michael Ulbrich, Michael Beetz, "Imitating human reaching motions using physically inspired optimization principles", In 11th IEEE-RAS International Conference on Humanoid Robots, Bled, Slovenia, 2011. [bib]
[33] Daniel Nyga, Moritz Tenorth, Michael Beetz, "How-Models of Human Reaching Movements in the Context of Everyday Manipulation Activities", In IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, 2011. [bib] [pdf]
[34] Michael Beetz, Moritz Tenorth, Dominik Jain, Jan Bandouch, "Towards Automated Models of Activities of Daily Life", In Technology and Disability, IOS Press, vol. 22, no. 1-2, pp. 27-40, 2010. [bib] [pdf]
[35] Moritz Tenorth, Jan Bandouch, Michael Beetz, "The TUM Kitchen Data Set of Everyday Manipulation Activities for Motion Tracking and Action Recognition", In IEEE International Workshop on Tracking Humans for the Evaluation of their Motion in Image Sequences (THEMIS), in conjunction with ICCV2009, 2009. [bib] [pdf]
[36] Freek Stulp, Erhan Oztop, Peter Pastor, Michael Beetz, Stefan Schaal, "Compact Models of Motor Primitive Variations for Predictable Reaching and Obstacle Avoidance", In 9th IEEE-RAS International Conference on Humanoid Robots, 2009. [bib]

Manipulation and Control

[37] Michael Beetz, Georg Bartels, Alin Albu-Schäffer, Ferenc Bálint-Benczédi, Rico Belder, Daniel Beßler, Sami Haddadin, Alexis Maldonado, Nico Mansfeld, Thiemo Wiedemeyer, Roman Weitschat, Jan-Hendrik Worch, "Robotic Agents Capable of Natural and Safe Physical Interaction with Human Co-workers", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015. [bib] [pdf]
[38] Moritz Tenorth, Georg Bartels, Michael Beetz, "Knowledge-based Specification of Robot Motions", In Proc. of the European Conference on Artificial Intelligence (ECAI), 2014. [bib] [pdf]
[39] Moritz Tenorth, Stefan Profanter, Ferenc Balint-Benczedi, Michael Beetz, "Decomposing CAD Models of Objects of Daily Use and Reasoning about their Functional Parts", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo Big Sight, Japan, pp. 5943-5949, 2013. [bib] [pdf]
[40] Georg Bartels, Ingo Kresse, Michael Beetz, "Constraint-based Movement Representation grounded in Geometric Features", In Proceedings of the IEEE-RAS International Conference on Humanoid Robots, Atlanta, Georgia, USA, 2013. [bib] [pdf]

Natural-language Instruction Interpretation

[41] Daniel Nyga, "Interpretation of Natural-language Robot Instructions: Probabilistic Knowledge Representation, Learning, and Reasoning", PhD thesis, University of Bremen, 2017. [bib] [pdf]
[42] Daniel Nyga, Mareike Picklum, Sebastian Koralewski, Michael Beetz, "Instruction Completion through Instance-based Learning and Semantic Analogical Reasoning", In International Conference on Robotics and Automation (ICRA), Singapore, 2017. Accepted for publication [bib]
[43] Daniel Nyga, Mareike Picklum, Michael Beetz, "What No Robot Has Seen Before -- Probabilistic Interpretation of Natural-language Object Descriptions", In International Conference on Robotics and Automation (ICRA), Singapore, 2017. Accepted for publication [bib]
[44] Daniel Nyga, Michael Beetz, "Cloud-based Probabilistic Knowledge Services for Instruction Interpretation", In International Symposium of Robotics Research (ISRR), Sestri Levante (Genoa), Italy, 2015. [bib] [pdf]
[45] Daniel Nyga, Michael Beetz, "Reasoning about Unmodelled Concepts -- Incorporating Class Taxonomies in Probabilistic Relational Models", In Arxiv.org, 2015. Preprint [bib] [pdf]
[46] Gheorghe Lisca, Daniel Nyga, Ferenc Bálint-Benczédi, Hagen Langer, Michael Beetz, "Towards Robots Conducting Chemical Experiments", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015. [bib] [pdf]
[47] Daniel Nyga, Michael Beetz, "Everything Robots Always Wanted to Know about Housework (But were afraid to ask)", In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vilamoura, Portugal, 2012. [bib] [pdf]
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