openEASE related publications

[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]

[4]	Daniel Beßler, Asil Kaan Bozcuoglu, Michael Beetz, "Information System for Storage, Management and Usage for Embodied Intelligent Agents", Chapter in Information Storage from a multi-disciplinary perspective, Springer, 2019. 978-3-030-19261-7 [bib] [pdf]
[5]	Fereshta Yazdani, Gayane Kazhoyan, Asil Kaan Bozcuoglu, Andrei Haidu, Ferenc Balint-Benczedi, Daniel Beßler, Mihai Pomarlan, Michael Beetz, "Cognition-enabled Framework for Mixed Human-Robot Rescue Team", In International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018. [bib]
[6]	Andrei Haidu, Daniel Beßler, Asil Kaan Bozcuoglu, Michael Beetz, "KNOWROB-SIM — Game Engine-enabled Knowledge Processing for Cognition-enabled Robot Control", In International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018. [bib] [pdf] [doi]
[7]	Asil Kaan Bozcuoglu, Gayane Kazhoyan, Yuki Furuta, Simon Stelter, Michael Beetz, Kei Okada, Masayuki Inaba, "The Exchange of Knowledge using Cloud Robotics", In International Conference on Robotics and Automation (ICRA), Brisbane, Australia, 2018. Finalist for the Best Cognitive Robotics Paper Award, Finalist for the Best Service Robotics Paper Award. [bib]
[8]	Asil Kaan Bozcuoglu, Gayane Kazhoyan, Yuki Furuta, Simon Stelter, Michael Beetz, Kei Okada, Masayuki Inaba, "The Exchange of Knowledge using Cloud Robotics", In Robotics and Automation Letters, IEEE, vol. 3, no. 2, pp. 1072-1079, 2018. [bib] [doi]
[9]	Michael Beetz, Daniel Beßler, Andrei Haidu, Mihai Pomarlan, Asil Kaan Bozcuoglu, Georg Bartels, "KnowRob 2.0 -- A 2nd Generation Knowledge Processing Framework for Cognition-enabled Robotic Agents", In International Conference on Robotics and Automation (ICRA), Brisbane, Australia, 2018. [bib] [pdf]
[10]	Fereshta Yazdani, Matthias Scheutz, Michael Beetz, "Guidelines for Improving Task-based Natural Language Understanding in Human-Robot Rescue Teams", In Proceedings of the 2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Debrecen, Hungary, 2017. [bib]
[11]	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. [bib]
[12]	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, Sao Paulo, Brazil, 2017. [bib]
[13]	Asil Kaan Bozcuoglu, Michael Beetz, "A Cloud Service for Robotic Mental Simulations", In International Conference on Robotics and Automation (ICRA), Singapore, 2017. [bib]
[14]	John Bateman, Michael Beetz, Daniel Beßler, Asil Kaan Bozcuoglu, Mihai Pomarlan, "Heterogeneous Ontologies and Hybrid Reasoning for Service Robotics: The EASE Framework", In Third Iberian Robotics Conference, Sevilla, Spain, 2017. [bib]
[15]	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]
[16]	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]
[17]	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]
[18]	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]
[19]	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]
[20]	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]

[21]	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]
[22]	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]
[23]	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]
[24]	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]

[25]	Mohammed Diab, Mihai Pomarlan, Stefano Borgo, Daniel Beßler, Jan Rosell, John Bateman, Michael Beetz, "FailRecOnt -- An Ontology-based Framework for Failure Interpretation and Recovery in Planning and Execution", In Proceedings of the Joint Ontology Workshops co-located with the Bolzano Summer of Knowledge (BOSK 2021), Virtual & Bozen-Bolzano, Italy, September 13th to September 17th, 2021, CEUR-WS.org, 2021. accepted for publication [bib]
[26]	Daniel Beßler, Robert Porzel, Mihai Pomarlan, Abhijit Vyas, Sebastian Höffner, Michael Beetz, Rainer Malaka, John Bateman, "Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents", In Formal Ontology in Information Systems - Proceedings of the 12th International Conference, FOIS 2021, Bozen-Bolzano, Italy, September 13-16, 2021, IOS Press, 2021. Accepted for publication. [bib] [pdf]
[27]	Mohammed Diab, Mihai Pomarlan, Daniel Beßler, Aliakbar Akbari, Jan Rosell, John Bateman, Michael Beetz, "SkillMaN -- A skill-based robotic manipulation framework based on perception and reasoning", In Robotics and Autonomous Systems, Elsevier, vol. 134, pp. 103653, 2020. [bib]
[28]	Daniel Robert Porzel Mihai Pomarlan Abhijit Vyas Sebastian Höffner Michael Beetz Rainer Malaka Beßler, John Bateman, "Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents", 2020. [bib]
[29]	Daniel Beßler, Robert Porzel, Pomarlan Mihai, Michael Beetz, Rainer Malaka, John Bateman, "A Formal Model of Affordances for Flexible Robotic Task Execution", In Proc. of the 24th European Conference on Artificial Intelligence (ECAI), 2020. [bib] [pdf]
[30]	Fereshta Yazdani, Sebastian Blumenthal, Nico Huebel, Asil Kaan Bozcuoglu, Michael Beetz, Herman Bruyninckx, "Query-based Integration of Heterogeneous Knowledge Bases for Search and Rescue Tasks", In Robotics and Autonomous Systems (RAS), Elsevier, vol. 117, pp. 80-91, 2019. [bib] [doi]
[31]	Alberto Olivares-Alarcos, Daniel Beßler, Alaa Khamis, Paulo Goncalves, Maki Habib, Julita Bermejo, Marcos Barreto, Mohammed Diab, Jan Rosell, João Quintas, Joanna Olszewska, Hirenkumar Nakawala, Edison Pignaton, Amelie Gyrard, Stefano Borgo, Guillem Alenyà, Michael Beetz, Howard Li, "A Review and Comparison of Ontology-based Approaches to Robot Autonomy", In The Knowledge Engineering Review, Cambridge University Press, vol. 34, pp. e29, 2019. [bib] [pdf] [doi]
[32]	Mohammed Diab, Mihai Pomarlan, Daniel Beßler, Aliakbar Abkari, Jan Rossel, John Bateman, Michael Beetz, "An Ontology for Failure Interpretation in Automated Planning and Execution", In Fourth Iberian Robotics Conference, Porto, Portugal, 2019. [bib]
[33]	Daniel Beßler, Robert Porzel, Pomarlan Mihai, Michael Beetz, "Foundational Models for Manipulation Activity Parsing", Chapter in Augmented Reality and Virtual Reality -- Changing Realities in a Dynamic World, Springer, 2019. 978-3-030-37869-1 [bib] [pdf]
[34]	Georg Bartels, Daniel Beßler, Michael Beetz, "Episodic Memories for Safety-Aware Robots -- Knowledge Representation and Reasoning for Robots that Safely Interact with Human Co-Workers", In KI - Künstliche Intelligenz, Springer, Berlin, Germany, 2019. [bib] [doi]
[35]	Daniel Beßler, Mihai Pomarlan, Aliakbar Akbari, Muhayyuddin, Mohammed Diab, Jan Rosell, John Bateman, Michael Beetz, "Assembly Planning in Cluttered Environments through Heterogeneous Reasoning", In 41st German Conference on Artificial Intelligence (KI), Springer, Berlin, Germany, 2018. [bib]
[36]	Daniel Beßler, Mihai Pomarlan, Michael Beetz, "OWL-enabled Assembly Planning for Robotic Agents", In Proceedings of the 2018 International Conference on Autonomous Agents, Stockholm, Sweden, 2018. Finalist for the Best Robotics Paper Award. [bib] [pdf]
[37]	Michael Beetz, Daniel Beßler, Gayane Kazhoyan, "Robotic Agents that Know What They are Doing", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, 2017. [bib]
[38]	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]
[39]	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]
[40]	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]
[41]	Lars Kunze, Michael Beetz, "Envisioning the Qualitative Effects of Robot Manipulation Actions using Simulation-based Projections", In Artificial Intelligence, 2015. [bib] [pdf] [doi]
[42]	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]
[43]	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]

[44]	Ferenc Balint-Benczedi, Zoltan-Csaba Marton, Maximilian Durner, Michael Beetz, "Storing and Retrieving Perceptual Episodic Memories for Long-term Manipulation Tasks", In Proceedings of the 2017 IEEE International Conference on Advanced Robotics (ICAR), Hong-Kong, China, 2017. Finalist for Best Paper Award [bib]
[45]	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]
[46]	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]
[47]	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]
[48]	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]
[49]	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]
[50]	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]
[51]	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]
[52]	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]

[53]	Mona Abdel-Keream, Michael Beetz, Patrick Mania, Jose Rojas, "Towards a Photorealistic Learning Infrastructure for Human Activities", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018. [bib]
[54]	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]
[55]	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]
[56]	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]
[57]	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]
[58]	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]
[59]	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]

[60]	Daniel Leidner, Georg Bartels, Wissam Bejjani, Alin Albu-Schäffer, Michael Beetz, "Cognition-enabled Robotic Wiping: Representation, Planning, Execution, and Interpretation", In Robotics and Autonomous Systems, Elsevier, vol. 114, pp. 199-216, 2019. [bib] [doi]
[61]	Pawel Gajewski, Paulo Ferreira, Georg Bartels, Chaozheng Wang, Frank Guerin, Bipin Indurkhya, Michael Beetz, Bartlomiej Sniezynski, "Adapting Everyday Manipulation Skills to Varied Scenarios", In International Conference on Robotics and Automation (ICRA), Montreal, Canada, 2019. [bib]
[62]	Georg Bartels, Daniel Beßler, Michael Beetz, "Episodic Memories for Safety-Aware Robots -- Knowledge Representation and Reasoning for Robots that Safely Interact with Human Co-Workers", In KI - Künstliche Intelligenz, Springer, Berlin, Germany, 2019. [bib] [doi]
[63]	Simon Stelter, Georg Bartels, Michael Beetz, "Multidimensional Time Series Shapelets Reliably Detect and Classify Contact Events in Force Measurements of Wiping Actions", In Robotics and Automation Letters, IEEE, 2018. (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. [bib] [pdf] [doi]
[64]	Pawel Gajewski, Paulo Ferreira, Georg Bartels, Chaozheng Wang, Frank Guerin, Bipin Indurkhya, Michael Beetz, Bartlomiej Sniezynski, "Adapting Everyday Manipulation Skills to Varied Scenarios", In arXiv preprint arXiv:1803.02743, 2018. [bib]
[65]	Simon Stelter, Georg Bartels, Michael Beetz, "Multidimensional Time Series Shapelets Reliably Detect and Classify Contact Events in Force Measurements of Wiping Actions", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, 2017. Finalist for the Best Cognitive Robotics Paper Award. [bib]
[66]	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]
[67]	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]
[68]	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]
[69]	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]

[70]	Daniel Nyga, Michael Beetz, "Cloud-based Probabilistic Knowledge Services for Instruction Interpretation", Chapter in Robotics Research, Springer, vol. 2, pp. 649-664, 2018. [bib]
[71]	Daniel Nyga, Subhro Roy, Rohan Paul, Daehyung Park, Mihai Pomarlan, Michael Beetz, Nicholas Roy, "Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge", In 2nd Conference on Robot Learning (CoRL 2018), Zurich, Switzerland, 2018. [bib] [pdf]
[72]	Mihai Pomarlan, Daniel Nyga, Mareike Picklum, Sebastian Koralewski, Michael Beetz, "Deeper Understanding of Vague Instructions through Simulated Execution (Extended Abstract)", In Proceedings of the 2017 International Conference on Autonomous Agents & Multiagent Systems, International Foundation for Autonomous Agents and Multiagent Systems, 2017. [bib] [pdf]
[73]	Daniel Nyga, "Interpretation of Natural-language Robot Instructions: Probabilistic Knowledge Representation, Learning, and Reasoning", PhD thesis, University of Bremen, 2017. [bib] [pdf]
[74]	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. [bib] [pdf]
[75]	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. [bib] [pdf]
[76]	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]
[77]	Daniel Nyga, Michael Beetz, "Reasoning about Unmodelled Concepts -- Incorporating Class Taxonomies in Probabilistic Relational Models", In Arxiv.org, 2015. Preprint [bib] [pdf]
[78]	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]
[79]	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]