EASE-related Publications

Shown Category: All

2021

[1] Toward Seamless Transitions Between Shared Control and Supervised Autonomy in Robotic Assistance
Samuel Bustamante, Gabriel Quere, Katharina Hagmann, Xuwei Wu, Peter Schmaus, Jörn Vogel, Freek Stulp, Daniel Leidner, "Toward Seamless Transitions Between Shared Control and Supervised Autonomy in Robotic Assistance", In In review for the IEEE Robotics and Automation Letters RA-L, 2021.
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2020

[2] EO-MTRNN: evolutionary optimization of hyperparameters for a neuro-inspired computational model of spatiotemporal learning
Erhard Wieser, Gordon Cheng, "EO-MTRNN: evolutionary optimization of hyperparameters for a neuro-inspired computational model of spatiotemporal learning", In Biological Cybernetics, Springer, pp. 1-25, 2020.
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[3] What Everyday Activities Reveal About Spatial Representation and Planning Depth
Petra Wenzl, Holger Schultheis, "What Everyday Activities Reveal About Spatial Representation and Planning Depth", In 18th International Conference on Cognitive Modeling, 2020.
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[4] Spatial Representation in Sequential Action Organization of Weakly Constrained Everyday Activities
Petra Wenzl, Holger Schultheis, "Spatial Representation in Sequential Action Organization of Weakly Constrained Everyday Activities", In Spatial Cognition XII, Springer International Publishing, Cham, pp. 59-75, 2020.
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[5] Optimality and Space in Weakly Constrained Everyday Activities
Petra Wenzl, Holger Schultheis, "Optimality and Space in Weakly Constrained Everyday Activities", In Proceedings of the 42nd Annual Conference of the Cognitive Science Society, Cognitive Science Society, pp. 1866-1872, 2020.
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[6] The Robot as Scientist: Using Mental Simulation to Test Causal Hypotheses Extracted from Human Activities in Virtual Reality
Constantin Uhde, Nicolas Berberich, Karinne Ramirez-Amaro, Gordon Cheng, "The Robot as Scientist: Using Mental Simulation to Test Causal Hypotheses Extracted from Human Activities in Virtual Reality", In IROS 2020, Las Vegas, USA, 2020.
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[7] OpenCollBench-Benchmarking of Collision Detection & Proximity Queries as a Web-Service
Toni Tan, Rene Weller, Gabriel Zachmann, "OpenCollBench-Benchmarking of Collision Detection & Proximity Queries as a Web-Service", In The 25th International Conference on 3D Web Technology, pp. 1-9, 2020.
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[8] Enabling cognitive behavior of humans, animals, and machines: A situation model framework
Werner X Schneider, Josefine Albert, Helge Ritter, "Enabling cognitive behavior of humans, animals, and machines: A situation model framework", In ZiF-Mitteilungen, vol. 1, pp. 21-34, 2020.
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[9] Improved CNN-Based Marker Labeling for Optical Hand Tracking
Janis Rosskamp, Rene Weller, Thorsten Kluss, Gabriel Zachmann, others, "Improved CNN-Based Marker Labeling for Optical Hand Tracking", In International Conference on Virtual Reality and Augmented Reality, Springer LNCS, pp. 165-177, 2020.
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[10] Deducing Qualitative Capabilities with Generic Ontology Design Patterns
Bernd Krieg-Brückner, Mihai Codescu, "Deducing Qualitative Capabilities with Generic Ontology Design Patterns", In Robot 2019: Fourth Iberian Robotics Conference. Advances in Robotics, Volume 1., Springer Nature Switzerland AG, Cham, no. 1092, pp. 391-403, 2020.
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[11] ``Knowing From'' -- An Outlook on Ontology Enabled Knowledge Transfer for Robotic Systems
Mohammed Diab, Mihai Pomarlan, Daniel Beßler, Stefano Borgo, Jan Rosell, "``Knowing From'' -- An Outlook on Ontology Enabled Knowledge Transfer for Robotic Systems", In Proceedings of the 1st Workshop on Ontology for Autonomous Robots (RobOntics) 2020, 2020.
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[12] Model-based Prediction of Exogeneous and Endogeneous Attention Shifts During an Everyday Activity
Felix Putze, Merlin Burri, Lisa-Marie Vortmann, Tanja Schultz, "Model-based Prediction of Exogeneous and Endogeneous Attention Shifts During an Everyday Activity", In , Virtual event, Netherlands, 2020.
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[13] Breaking the experience: effects of questionnaires in vr user studies
Susanne Putze, Dmitry Alexandrovsky, Felix Putze, Sebastian Höffner, Jan David Smeddinck, Rainer Malaka, "Breaking the experience: effects of questionnaires in vr user studies", In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-15, 2020.
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[14] Embodied Functional Relations: a Formal Account Combining Abstract Logical Theory with Grounding in Simulation
Mihai Pomarlan, John A. Bateman, "Embodied Functional Relations: a Formal Account Combining Abstract Logical Theory with Grounding in Simulation", In Proceedings of the 11th International Conference on Formal Ontology in Information Systems, 2020.
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[15] Human, we have a problem: What to say when things go wrong
Mihai Pomarlan, Vanja Sophie Cangalovic, Robert Porzel, John Bateman, "Human, we have a problem: What to say when things go wrong", In Proceedings of the NLG for HRI Workshop at the International Conference on Human–Robot Interaction, Cambridge, UK, 2020.
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[16] We Asked 100 People: How Would You Train Our Robot?
Johannes Pfau, Rainer Malaka, "We Asked 100 People: How Would You Train Our Robot?", In Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play, pp. 335-339, 2020.
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[17] The Case for Usable AI: What Industry Professionals Make of Academic AI in Video Games
Johannes Pfau, Jan David Smeddinck, Rainer Malaka, "The Case for Usable AI: What Industry Professionals Make of Academic AI in Video Games", In Extended Abstracts Publication of the Annual Symposium on Computer-Human Interaction in Play., 2020.
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[18] Enemy within: Long-term motivation effects of deep player behavior models for dynamic difficulty adjustment
Johannes Pfau, Jan David Smeddinck, Rainer Malaka, "Enemy within: Long-term motivation effects of deep player behavior models for dynamic difficulty adjustment", In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-10, 2020.
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[19] Dungeons & replicants: automated game balancing via deep player behavior modeling
Johannes Pfau, Antonios Liapis, Georg Volkmar, Georgios N Yannakakis, Rainer Malaka, "Dungeons & replicants: automated game balancing via deep player behavior modeling", In 2020 IEEE Conference on Games (CoG), pp. 431-438, 2020.
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[20] Bot or not? user perceptions of player substitution with deep player behavior models
Johannes Pfau, Jan David Smeddinck, Ioannis Bikas, Rainer Malaka, "Bot or not? user perceptions of player substitution with deep player behavior models", In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-10, 2020.
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[21] From Geometries to Contact Graphs
Martin Meier, Robert Haschke, Helge J Ritter, "From Geometries to Contact Graphs", In International Conference on Artificial Neural Networks, pp. 546-555, 2020.
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[22] From Human to Robot Everyday Activity
Celeste Mason, Konrad Gadzicki, Moritz Meier, Florian Ahrens, Thorsten Kluss, Jaime Maldonado, Felix Putze, Thorsten Fehr, Christoph Zetzsche, Manfred Herrmann, others, "From Human to Robot Everyday Activity", In Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA (Virtual), pp. 25-29, 2020.
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[23] Imagination-enabled Robot Perception
Patrick Mania, Franklin Kenghagho Kenfack, Michael Neumann, Michael Beetz, "Imagination-enabled Robot Perception", In arXiv preprint arXiv:2011.11397, 2020.
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[24] Using Linked Data to Help Robots Understand Product-related Actions
Michaela Kümpel, Anna de Groot, Ilaria Tiddi, Michael Beetz, "Using Linked Data to Help Robots Understand Product-related Actions", In JOWO 2020, The Joint Ontology Workshops, vol. 2708, 2020.
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[25] Generic Ontology Design Patterns: Roles and Change over Time
Bernd Krieg-Brückner, Till Mossakowski, Mihai Codescu, "Generic Ontology Design Patterns: Roles and Change over Time", In arXiv preprint arXiv:2011.09353, 2020.
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[26] RobotVQA --- A Scene-Graph- and Deep-Learning-based Visual Question Answering System for Robot Manipulation
Franklin Kenghagho Kenfack, Feroz Ahmed Siddiky, Ferenc Balint-Benczedi, Michael Beetz, "RobotVQA --- A Scene-Graph- and Deep-Learning-based Visual Question Answering System for Robot Manipulation", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020.
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[27] Learning Motion Parameterizations of Mobile Pick and Place Actions from Observing Humans in Virtual Environments
Gayane Kazhoyan, Alina Hawkin, Sebastian Koralewski, Andrei Haidu, Michael Beetz, "Learning Motion Parameterizations of Mobile Pick and Place Actions from Observing Humans in Virtual Environments", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
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[28] Towards Plan Transformations for Real-World Mobile Fetch and Place
Gayane Kazhoyan, Arthur Niedzwiecki, Michael Beetz, "Towards Plan Transformations for Real-World Mobile Fetch and Place", In IEEE International Conference on Robotics and Automation (ICRA), 2020.
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[29] The Robot Household Marathon Experiment
Gayane Kazhoyan, Simon Stelter, Franklin Kenghagho Kenfack, Sebastian Koralewski, Michael Beetz, "The Robot Household Marathon Experiment", 2020.
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[30] Logical separability of incomplete data under ontologies
Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, Frank Wolter, "Logical separability of incomplete data under ontologies", In arXiv preprint arXiv:2007.01610, 2020.
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[31] Decision making under uncertainty in a quasi realistic binary decision task--An fMRI study
K Gloy, M Herrmann, T Fehr, "Decision making under uncertainty in a quasi realistic binary decision task--An fMRI study", In Brain and Cognition, Elsevier, vol. 140, pp. 105549, 2020.
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[32] Modelling Episodes with Generic Ontology Design Patterns
Bernd Krieg-Brückner, Mihai Codescu, Mihai Pomarlan, "Modelling Episodes with Generic Ontology Design Patterns", In Proceedings of the Workshop on Scalable Knowledge Graph Engineering 2020, 2020.
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[33] A Review and Comparison of Ontology-based Approaches to Robot Autonomy
Daniel Beßler, Alberto Olivares-Alarcos, 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 Knowledge Eng. Review, vol. 34, pp. e1, 2020.
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[34] A Formal Model of Affordances for Flexible Robotic Task Execution
Daniel Beßler, Robert Porzel, Mihai Pomarlan, Michael Beetz, Rainer Malaka, John Bateman, "A Formal Model of Affordances for Flexible Robotic Task Execution", In European Conference on Artificial Intelligence (ECAI), 2020.
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[35] Probabilistic Effect Prediction through Semantic Augmentation and Physical Simulation
Adrian S Bauer, Peter Schmaus, Freek Stulp, Daniel Leidner, "Probabilistic Effect Prediction through Semantic Augmentation and Physical Simulation", In 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 9278-9284, 2020.
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[36] Enhancing Game-Based Learning Through Infographics in the Context of Smart Home Security
Mehrdad Bahrini, Nima Zargham, Johannes Pfau, Stella Lemke, Karsten Sohr, Rainer Malaka, "Enhancing Game-Based Learning Through Infographics in the Context of Smart Home Security", In Joint International Conference on Entertainment Computing and Serious Games, 2020.
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[37] Driven by Commonsense: On the Role of Human-Centred Visual Explainability for Autonomous Vehicles
Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan, "Driven by Commonsense: On the Role of Human-Centred Visual Explainability for Autonomous Vehicles", In ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), IOS Press, vol. 325, pp. 2939-2940, 2020.
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[38] Modelling Episodes with Generic Ontology Design Patterns
Bernd Krieg-Brückner, Mihai Codescu, Mihai Pomarlan, "Modelling Episodes with Generic Ontology Design Patterns", Chapter in JOWO 2020, The Joint Ontology Workshops, Proceedings of the Joint Ontology Workshops co-located with the Bolzano Summer of Knowledge (BOSK 2020), Virtual & Bozen-Bolzano, Italy, August 31st to October 7th, 2020, CEUR-WS.org, vol. 2708, 2020.
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[39] Fast Computations of Accurate Proximity Information in Unreal
Marc O Rüdel, Janis Rosskamp, Hermann Meissenhelter, Rene Weller, Gabriel Zachmann, "Fast Computations of Accurate Proximity Information in Unreal", In Frontiers in Virtual Reality, 2020. in preparation
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[40] Categorization of Contact Events as Intended or Unintended usingPre-Contact Kinematic Features
Jaime Leonardo Maldonado Cañón, Thorsten Kluss, Christoph Zetzsche, "Categorization of Contact Events as Intended or Unintended usingPre-Contact Kinematic Features", In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2020.
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[41] Pre-Contact Kinematic Features for the Categorization of Contact Eventsas Intended or Unintended
Jaime Leonardo Maldonado Cañón, Thorsten Kluss, Christoph Zetzsche, "Pre-Contact Kinematic Features for the Categorization of Contact Eventsas Intended or Unintended", In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2020.
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[42] Verifying Safety Properties of Robotic Plans operating in Real-World Environments via Logic-based Environment Modeling
Tim Meywerk, Marcel Walter, Vladimir Herdt, Jan Kleinekathöfer, D. Große, Rolf Drechsler, "Verifying Safety Properties of Robotic Plans operating in Real-World Environments via Logic-based Environment Modeling", In Leveraging Applications of Formal Methods, Verification and Validation (ISoLA), 2020.
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[43] Clustering-Guided SMT(LRA) Learning
Tim Meywerk, Marcel Walter, Daniel Große, Rolf Drechsler, "Clustering-Guided SMT(LRA) Learning", In 16th International Conference on integrated Formal Methods (iFM), 2020.
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[44] Efficient Cross-Level Testing for Processor Verification: A RISC-V Case-Study
Vladimir Herdt, Daniel Große, Eyck Jentzsch, Rolf Drechsler, "Efficient Cross-Level Testing for Processor Verification: A RISC-V Case-Study", In Forum on specification & Design Languages (FDL), 2020.
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[45] RVX - A Tool for Concolic Testing of Embedded Binaries Targeting RISC-V Platforms
Vladimir Herdt, Daniel Große, Rolf Drechsler, "RVX - A Tool for Concolic Testing of Embedded Binaries Targeting RISC-V Platforms", In International Symposium on Automated Technology for Verification and Analysis (ATVA), 2020.
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[46] Linking Labs: Interconnecting Experimental Environments
Tanja Schultz, Felix Putze, Thorsten Fehr, Moritz Meier, Celeste Mason, Florian Ahrens, Manfred Herrmann, "Linking Labs: Interconnecting Experimental Environments", In submitted to PLOSone, 2020.
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[47] Early vs Late Fusion in Multimodal Convolutional Neural Networks
K. Gadzicki, R. Khamsehashari, C. Zetzsche, "Early vs Late Fusion in Multimodal Convolutional Neural Networks", In 2020 IEEE 23rd International Conference on Information Fusion (FUSION), vol. , no. , pp. 1-6, 2020.
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[48] A Journey into Ontology Approximation: From Non-Horn to Horn
Anneke Haga, Carsten Lutz, Johannes Marti, Frank Wolter, "A Journey into Ontology Approximation: From Non-Horn to Horn", In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020, ijcai.org, pp. 1827-1833, 2020.
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[49] Least General Generalizations in Description Logic: Verification and Existence
Jean Christoph Jung, Carsten Lutz, Frank Wolter, "Least General Generalizations in Description Logic: Verification and Existence", In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, AAAI Press, pp. 2854-2861, 2020.
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[50] Cognitive Vision and Perception: Deep Semantics Integrating AI and Vision for Reasoning about Space, Motion, and Interaction
Mehul Bhatt, Jakob Suchan, "Cognitive Vision and Perception: Deep Semantics Integrating AI and Vision for Reasoning about Space, Motion, and Interaction", In ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), IOS Press, vol. 325, pp. 2881-2882, 2020.
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[51] Examining Design Choices of Questionnaires in VR User Studies
Dmitry Alexandrovsky, Susanne Putze, Michael Bonfert, Sebastian Höffner, Pitt Michelmann, Dirk Wenig, Rainer Malaka, Jan David Smeddinck, "Examining Design Choices of Questionnaires in VR User Studies", In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, USA, pp. 1-21, 2020.
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[52] Data Publication: Object Geometries and Contact Graphs
Martin Meier, "Data Publication: Object Geometries and Contact Graphs", In , 2020.
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[53] Data Publication: Tactile, Force and Torque Data of Robotic Lid Closing
Martin Meier, "Data Publication: Tactile, Force and Torque Data of Robotic Lid Closing", In , 2020.
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[54] Barometer-based Tactile Skin for Anthropomorphic Robot Hand
Risto Kõiva, Tobias Schwank, Guillaume Walck, Martin Meier, Robert Haschke, Helge Ritter, "Barometer-based Tactile Skin for Anthropomorphic Robot Hand", In , 2020.
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2019

[55] CHiMP: A Contact based Hilbert Map Planner
C. Uhde, E. Dean-Leon, G. Cheng, "CHiMP: A Contact based Hilbert Map Planner", In 2019 International Conference on Robotics and Automation (ICRA), vol. , no. , pp. 8381-8387, 2019.
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[56] Autonomous Parallelization of Resource-Aware Robotic Task Nodes
S. G. Brunner, A. Dömel, P. Lehner, M. Beetz, F. Stulp, "Autonomous Parallelization of Resource-Aware Robotic Task Nodes", In IEEE Robotics and Automation Letters, vol. 4, no. 3, pp. 2599-2606, 2019.
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[57] Player Types and Achievements--Using Adaptive Game Design to Foster Intrinsic Motivation
Georg Volkmar, Johannes Pfau, Rudolf Teise, Rainer Malaka, "Player Types and Achievements--Using Adaptive Game Design to Foster Intrinsic Motivation", In Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, pp. 747-754, 2019.
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[58] SIMDop: SIMD Optimized Bounding Volume Hierarchies for Collision Detection
Toni Tan, René Weller, Gabriel Zachmann, "SIMDop: SIMD Optimized Bounding Volume Hierarchies for Collision Detection", In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7256-7263, 2019.
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[59] Special Issue on Smart Production
Martin Ruskowski, Tatjana Legler, Michael Beetz, Georg Bartels, "Special Issue on Smart Production", Springer, 2019.
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[60] ESKO6d-A Binocular and RGB-D Dataset of Stored Kitchen Objects with 6d Poses
Jesse Richter-Klug, Constantin Wellhausen, Udo Frese, "ESKO6d-A Binocular and RGB-D Dataset of Stored Kitchen Objects with 6d Poses", In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 893-899, 2019.
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[61] A survey on semantic-based methods for the understanding of human movements
Karinne Ramirez-Amaro, Yezhou Yang, Gordon Cheng, "A survey on semantic-based methods for the understanding of human movements", In Robotics and Autonomous Systems, Elsevier, vol. 119, pp. 31-50, 2019.
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[62] A Benchmarking Dataset for Automatic Symbolic Grounding from Virtual Demonstrations
Karinne Ramirez-Amaro, Constantin Uhde, Tamas Bates, Gordon Cheng, "A Benchmarking Dataset for Automatic Symbolic Grounding from Virtual Demonstrations", In 2nd International Workshop on Computational Models of Affordance in Robotics at the IEEE International Conference on Robotics and Automation (ICRA), 2019.
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[63] Extensions of Generic DOL for Generic Ontology Design Patterns
Mihai Codescu, Bernd Krieg-Brückner, Till Mossakowski, "Extensions of Generic DOL for Generic Ontology Design Patterns", In JOWO 2019. Joint Ontology Workshops (JOWO-2019), 4th International Workshop on Ontology Modularity, Contextuality, and Evolution, located at The Joint Ontology Workshops, September 23-25, Graz, Austria, CEUR Workshop Proceedings, CEUR-WS.org, vol. Episode V: The Styrian Autumn of Ontology, no. 2019, 2019.
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[64] What are you doing with that thing: Getting Household Service Robots to Explain Themselves
Mihai Pomarlan, "What are you doing with that thing: Getting Household Service Robots to Explain Themselves", In 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), pp. 287-294, 2019.
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[65] MatCALO: Knowledge-enabled machine learning in materials science
Mareike Picklum, Michael Beetz, "MatCALO: Knowledge-enabled machine learning in materials science", In Computational Materials Science, Elsevier, vol. 163, pp. 50-62, 2019.
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[66] Give MEANinGS to Robots with Kitchen Clash: A VR Human Computation Serious Game for World Knowledge Accumulation
Johannes Pfau, Robert Porzel, Mihai Pomarlan, Vanja Sophie Cangalovic, Supara Grudpan, Sebastian Höffner, John Bateman, Rainer Malaka, "Give MEANinGS to Robots with Kitchen Clash: A VR Human Computation Serious Game for World Knowledge Accumulation", In Joint International Conference on Entertainment Computing and Serious Games, pp. 85-96, 2019.
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[67] Deep Player Behavior Models: Evaluating a Novel Take on Dynamic Difficulty Adjustment
Johannes Pfau, Jan David Smeddinck, Rainer Malaka, "Deep Player Behavior Models: Evaluating a Novel Take on Dynamic Difficulty Adjustment", In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, pp. LBW0171, 2019.
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[68] Can You Rely on Human Computation?: A Large-scale Analysis of Disruptive Behavior in Games With A Purpose
Johannes Pfau, Rainer Malaka, "Can You Rely on Human Computation?: A Large-scale Analysis of Disruptive Behavior in Games With A Purpose", In Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, pp. 605-610, 2019.
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[69] Towards formal verification of plans for cognition-enabled autonomous robotic agents
Tim Meywerk, Marcel Walter, Vladimir Herdt, Daniel Große, Rolf Drechsler, "Towards formal verification of plans for cognition-enabled autonomous robotic agents", In 2019 22nd Euromicro Conference on Digital System Design (DSD), pp. 129-136, 2019.
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[70] Comparative Analysis of Think-aloud Methods for Everyday Activities in the Context of Cognitive Robotics
Moritz Meier, Celeste Mason, Felix Putze, Tanja Schultz, "Comparative Analysis of Think-aloud Methods for Everyday Activities in the Context of Cognitive Robotics", In 20th Annual Conference of the International Speech Communication Association, Graz, Austria, 2019. Interspeech 2019
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[71] A Multi-modal Kitchen Table Setting Dataset for the Enhancement of Cognitive Robotics
M. Meier, C. Mason, F. Putze, T. Schultz, "A Multi-modal Kitchen Table Setting Dataset for the Enhancement of Cognitive Robotics", In IK2019 Proceedings, 2019.
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[72] A Framework for Self-Training Perceptual Agents in Simulated Photorealistic Environments
Patrick Mania, Michael Beetz, "A Framework for Self-Training Perceptual Agents in Simulated Photorealistic Environments", In 2019 International Conference on Robotics and Automation (ICRA), pp. 4396-4402, 2019.
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[73] On Cognitive Reasoning for Compliant Manipulation Tasks in Smart Production Environments
Daniel Leidner, "On Cognitive Reasoning for Compliant Manipulation Tasks in Smart Production Environments", In KI-Künstliche Intelligenz, Springer, vol. 33, no. 2, pp. 197-200, 2019.
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[74] Cognitive reasoning for compliant robot manipulation
Daniel Sebastian Leidner, "Cognitive reasoning for compliant robot manipulation", Springer, 2019.
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[75] Cognition-enabled robotic wiping: Representation, planning, execution, and interpretation
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.
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[76] Self-Specialization of General Robot Plans Based on Experience
Sebastian Koralewski, Gayane Kazhoyan, Michael Beetz, "Self-Specialization of General Robot Plans Based on Experience", In IEEE Robotics and Automation Letters, IEEE, vol. 4, no. 4, pp. 3766-3773, 2019.
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[77] Executing Underspecified Actions in Real World Based on Online Projection
Gayane Kazhoyan, Michael Beetz, "Executing Underspecified Actions in Real World Based on Online Projection", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
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[78] Accomplishing Variations of Mobile Manipulation Actions through Generalized Robot Plans
Gayane Kazhoyan, Michael Beetz, "Accomplishing Variations of Mobile Manipulation Actions through Generalized Robot Plans", In Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems, 2019.
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[79] Section focused on machine learning methods for high-level cognitive capabilities in robotics
Tetsunari Inamura, Hiroki Yokoyama, Emre Ugur, Xavier Hinaut, Michael Beetze, Tadahiro Taniguchi, "Section focused on machine learning methods for high-level cognitive capabilities in robotics", Taylor & Francis, 2019.
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[80] Automated models of human everyday activity based on game and virtual reality technology
Andrei Haidu, Michael Beetz, "Automated models of human everyday activity based on game and virtual reality technology", In 2019 International Conference on Robotics and Automation (ICRA), pp. 2606-2612, 2019.
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[81] Give MEANinGS to Robots with Kitchen Clash: A VR Human Computation Serious Game for World Knowledge Accumulation
Supara Grudpan, Sebastian Höffner, John Bateman, Rainer Malaka, "Give MEANinGS to Robots with Kitchen Clash: A VR Human Computation Serious Game for World Knowledge Accumulation", In Entertainment Computing and Serious Games: First IFIP TC 14 Joint International Conference, ICEC-JCSG 2019, Arequipa, Peru, November 11--15, 2019, Proceedings, vol. 11863, pp. 85, 2019.
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[82] Adapting everyday manipulation skills to varied scenarios
Pawe Gajewski, Paulo Ferreira, Georg Bartels, Chaozheng Wang, Frank Guerin, Bipin Indurkhya, Michael Beetz, Bart\lomiej \'Sniezyński, "Adapting everyday manipulation skills to varied scenarios", In 2019 International Conference on Robotics and Automation (ICRA), pp. 1345-1351, 2019.
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[83] Learning Description Logic Concepts: When can Positive and Negative Examples be Separated?
Maurice Funk, Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, Frank Wolter, "Learning Description Logic Concepts: When can Positive and Negative Examples be Separated?", In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, ijcai.org, pp. 1682-1688, 2019.
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[84] Geometric problem solving with strings and pins
Christian Freksa, Thomas Barkowsky, Zoe Falomir, Jasper van de Ven, "Geometric problem solving with strings and pins", In Spatial Cognition & Computation, Taylor & Francis, vol. 19, no. 1, pp. 46-68, 2019.
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[85] Ensuring Correctness of Next Generation Devices: From Reconfigurable to Self-Learning Systems
Rolf Drechsler, Daniel Große, "Ensuring Correctness of Next Generation Devices: From Reconfigurable to Self-Learning Systems", In 2019 IEEE 28th Asian Test Symposium (ATS), pp. 159-1595, 2019.
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[86] An Ontology for Failure Interpretation in Automated Planning and Execution
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]
[87] Manipulation Planning and Control for Shelf Replenishment
Marco Costanzo, Simon Stelter, Ciro Natale, Salvatore Pirozzi, Georg Bartels, Alexis Maldonado, Michael Beetz, "Manipulation Planning and Control for Shelf Replenishment", In arXiv preprint arXiv:1912.11018, 2019.
[pdf] [bib]
[88] Hybridisation of Institutions in HETS (Tool Paper)
Mihai Codescu, "Hybridisation of Institutions in HETS (Tool Paper)", In 8th Conference on Algebra and Coalgebra in Computer Science (CALCO 2019), Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, vol. 139, Dagstuhl, Germany, pp. 17:1-17:10, 2019.
[pdf] [bib] [doi]
[89] Ontology approximation in horn description logics
Anneke Bötcher, Carsten Lutz, Frank Wolter, "Ontology approximation in horn description logics", In Proceedings of the 28th International Joint Conference on Artificial Intelligence, pp. 1574-1580, 2019.
[pdf] [bib]
[90] Get a Grip! Introducing Variable Grip for Controller-Based VR Systems
Michael Bonfert, Robert Porzel, Rainer Malaka, "Get a Grip! Introducing Variable Grip for Controller-Based VR Systems", In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), pp. 604-612, 2019.
[bib]
[91] Information System for Storage, Management and Usage for Embodied Intelligent Agents
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
[pdf] [bib]
[92] Foundational Models for Manipulation Activity Parsing
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
[pdf] [bib]
[93] Embodied contextualization: Towards a multistratal ontological treatment
John Bateman, Mihai Pomarlan, Gayane Kazhoyan, "Embodied contextualization: Towards a multistratal ontological treatment", In Journal of Applied Ontology, vol. 14, no. 1, pp. 1-35, 2019.
[bib]
[94] Episodic Memories for Safety-Aware Robots
Georg Bartels, Daniel Beßler, Michael Beetz, "Episodic Memories for Safety-Aware Robots", In KI-Künstliche Intelligenz, Springer, vol. 33, no. 2, pp. 123-130, 2019.
[pdf] [bib]
[95] Scalable Design for Field-Coupled Nanocomputing Circuits
Marcel Walter, Robert Wille, Frank Sill Torres, Daniel Groundefinede, Rolf Drechsler, "Scalable Design for Field-Coupled Nanocomputing Circuits", In Proceedings of the 24th Asia and South Pacific Design Automation Conference, Association for Computing Machinery, New York, NY, USA, pp. 197-202, 2019.
[pdf] [bib] [doi]
[96] Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving
Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan, "Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving", In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, ijcai.org, pp. 1879-1885, 2019. (received Distinguished Paper Honorable Mention Award)
[pdf] [bib] [doi]
[97] A Semantic-Based Method for Teaching Industrial Robots New Tasks
Karinne Ramirez-Amaro, Emmanuel Dean-Leon, Florian Bergner, Gordon Cheng, "A Semantic-Based Method for Teaching Industrial Robots New Tasks", In KI - Künstliche Intelligenz, 2019.
[pdf] [bib] [doi]
[98] Auto Packing for Arbitrary 3D Objects and Container
"Auto Packing for Arbitrary 3D Objects and Container", In Proceedings of the GI VR/AR Workshop, 2019.
[bib]
[99] Adaptivity of End Effector Motor Control Under Different Sensory Conditions: Experiments With Humans in Virtual Reality and Robotic Applications
Jaime Leonardo Maldonado Cañón, Thorsten Kluss, Christoph Zetzsche, "Adaptivity of End Effector Motor Control Under Different Sensory Conditions: Experiments With Humans in Virtual Reality and Robotic Applications", In Frontiers in Robotics and AI, Frontiers Media SA, vol. 6, 2019.
[bib] [doi]
[100] Towards Formal Verification of Plans for Cognition-Enabled Autonomous Robotic Agents
Tim Meywerk, M. Walter, Vladimir Herdt, D. Große, R. Drechsler, "Towards Formal Verification of Plans for Cognition-Enabled Autonomous Robotic Agents", In 2019 22nd Euromicro Conference on Digital System Design (DSD), pp. 129-136, 2019.
[bib]
[101] Deep Residual Temporal Convolutional Networks for Skeleton-Based Human Action Recognition
R. Khamsehashari, K. Gadzicki, C. Zetzsche, "Deep Residual Temporal Convolutional Networks for Skeleton-Based Human Action Recognition", In Computer Vision Systems, Springer International Publishing, Cham, pp. 376-385, 2019.
[bib]
[102] Extensions of Generic DOL for Generic Ontology Design Patterns
Mihai Codescu, Bernd Krieg-Brückner, Till Mossakowski, "Extensions of Generic DOL for Generic Ontology Design Patterns", In Proceedings of the Joint Ontology Workshops 2017 Episode V: The Styrian Autumn of Ontology, September 23-25, Graz, Austria, CEUR-WS.org, 2019.
[pdf] [bib]
[103] Ensuring Correctness of Next Generation Devices: From Reconfigurable to Self-Learning Systems
Rolf Drechsler, Daniel Große, "Ensuring Correctness of Next Generation Devices: From Reconfigurable to Self-Learning Systems", In 2019 IEEE 28th Asian Test Symposium (ATS), pp. 159-1595, 2019.
[pdf] [bib]
[104] Generic Ontology Design Patterns at Work
Bernd Krieg-Brückner, Till Mossakowski, Fabian Neuhaus, "Generic Ontology Design Patterns at Work", In Proceedings of the Joint Ontology Workshops 2019 Episode V: The Styrian Autumn of Ontology, Graz, Austria, September 23-25, 2019, CEUR-WS.org, vol. 2518, 2019.
[pdf] [bib]
[105] Ontology Approximation in Horn Description Logics
Anneke Bötcher, Carsten Lutz, Frank Wolter, "Ontology Approximation in Horn Description Logics", In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, ijcai.org, pp. 1574-1580, 2019.
[bib]
[106] PTime Combined Complexity and FPT in Ontology-Mediated Querying
Pablo Barceló, Cristina Feier, Carsten Lutz, Andreas Pieris, "PTime Combined Complexity and FPT in Ontology-Mediated Querying", In Proceedings of the 32nd International Workshop on Description Logics, Oslo, Norway, June 18-21, 2019, CEUR-WS.org, vol. 2373, 2019.
[bib]
[107] Spatial Preferences in Everyday Activities
Holger Schultheis, "Spatial Preferences in Everyday Activities", In Proceedings of the 41th Annual Meeting of the Cognitive Science Society, CogSci 2019: Creativity + Cognition + Computation, Montreal, Canada, July 24-27, 2019, cognitivesciencesociety.org, pp. 3568, 2019.
[pdf] [bib]
[108] Spatial Memory of Immediate Environments
Holger Schultheis, "Spatial Memory of Immediate Environments", In Proceedings of the 41th Annual Meeting of the Cognitive Science Society, CogSci 2019: Creativity + Cognition + Computation, Montreal, Canada, July 24-27, 2019, cognitivesciencesociety.org, pp. 1022-1028, 2019.
[pdf] [bib]
[109] Deep Semantics for Explainable Visuospatial Intelligence: Perspectives on Integrating Commonsense Spatial Abstractions and Low-Level Neural Features
Mehul Bhatt, Jakob Suchan, Srikrishna Varadarajan, "Deep Semantics for Explainable Visuospatial Intelligence: Perspectives on Integrating Commonsense Spatial Abstractions and Low-Level Neural Features", In NeSy 2019: In Proceedings of 14th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy), at IJCAI 2019, Macao, China, August 9, 2019, 2019.
[bib]
[110] Scalable Design for Field-Coupled Nanocomputing Circuits
Marcel Walter, Robert Wille, Frank Sill Torres, Daniel Groundefinede, Rolf Drechsler, "Scalable Design for Field-Coupled Nanocomputing Circuits", In Proceedings of the 24th Asia and South Pacific Design Automation Conference, Association for Computing Machinery, New York, NY, USA, pp. 197-202, 2019.
[pdf] [bib] [doi]
[111] Towards Meaningful Uncertainty Information for CNN Based 6D Pose Estimates
Jesse Richter-Klug, Udo Frese, "Towards Meaningful Uncertainty Information for CNN Based 6D Pose Estimates", In Computer Vision Systems, Springer International Publishing, Cham, pp. 408-422, 2019.
[pdf] [bib]

2018

[112] Design, Execution, and Postmortem Analysis of Prolonged Autonomous Robot Operations
S. G. Brunner, P. Lehner, M. J. Schuster, S. Riedel, R. Belder, D. Leidner, A. Wedler, M. Beetz, F. Stulp, "Design, Execution, and Postmortem Analysis of Prolonged Autonomous Robot Operations", In IEEE Robotics and Automation Letters, vol. 3, no. 2, pp. 1056-1063, 2018.
[pdf] [bib] [doi]
[113] A Self-Verifying Cognitive Architecture for Robust Bootstrapping of Sensory-Motor Skills via Multipurpose Predictors
Erhard Wieser, Gordon Cheng, "A Self-Verifying Cognitive Architecture for Robust Bootstrapping of Sensory-Motor Skills via Multipurpose Predictors", In IEEE Transactions on Cognitive and Developmental Systems, IEEE, vol. 10, no. 4, pp. 1081-1095, 2018.
[bib]
[114] Analyzing Strong Spatial Cognition: A Modeling Approach
Jasper van de Ven, Munehiro Fukuda, Holger Schultheis, Christian Freksa, Thomas Barkowsky, "Analyzing Strong Spatial Cognition: A Modeling Approach", In German Conference on Spatial Cognition, pp. 197-208, 2018.
[pdf] [bib]
[115] Multidimensional Time Series Shapelets Reliably Detect and Classify Contact Events in Force Measurements of Wiping Actions
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.
[bib] [doi]
[116] Translation of string-and-pin-based shortest path construction into data-scalable agent-based computational models
Yun-Ming Shih, Collin Gordon, Munehiro Fukuda, Jasper van de Ven, Christian Freksa, "Translation of string-and-pin-based shortest path construction into data-scalable agent-based computational models", In 2018 Winter Simulation Conference (WSC), pp. 881-892, 2018.
[pdf] [bib]
[117] A Text to Animation System for Physical Exercises
Himangshu Sarma, Robert Porzel, Jan D Smeddinck, Rainer Malaka, Arun Baran Samaddar, "A Text to Animation System for Physical Exercises", In The Computer Journal, Oxford University Press, vol. 61, no. 11, pp. 1589-1604, 2018.
[pdf] [bib] [doi]
[118] UnrealHaptics: A Plugin-System for High Fidelity Haptic Rendering in the Unreal Engine
Marc O Rüdel, Johannes Ganser, Rene Weller, Gabriel Zachmann, "UnrealHaptics: A Plugin-System for High Fidelity Haptic Rendering in the Unreal Engine", In Springer Lecture Notes in Computer Science, LNCS, Volume 11162 (EuroVR Proc.), pp. 128-147, 2018.
[bib]
[119] A manageable model for experimental research data: An empirical study in the materials sciences
Susanne Putze, Robert Porzel, Gian-Luca Savino, Rainer Malaka, "A manageable model for experimental research data: An empirical study in the materials sciences", In International conference on advanced information systems engineering, pp. 424-439, 2018.
[bib]
[120] Partial Pushout Semantics of Generics in DOL
Till Mossakowski, Bernd Krieg-Brückner, "Partial Pushout Semantics of Generics in DOL", In Theoretical Computer Science (TCS), Elsevier, vol. 741, pp. 58-70, 2018.
[bib]
[121] Understanding NLP Neural Networks by the Texts They Generate
Mihai Pomarlan, John Bateman, "Understanding NLP Neural Networks by the Texts They Generate", In Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz), pp. 284-296, 2018.
[pdf] [bib]
[122] From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation
Mihai Pomarlan, Robert Porzel, John Bateman, Rainer Malaka, "From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation", In Proceedings of the Workshop on NLG for Human--Robot Interaction, pp. 17-21, 2018.
[bib]
[123] Meaningful Clusterings of Recurrent Neural Network Activations for NLP
Mihai Pomarlan, John Bateman, "Meaningful Clusterings of Recurrent Neural Network Activations for NLP", In International Conference on Mining Intelligence and Knowledge Exploration, pp. 11-20, 2018.
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[124] Robot Program Construction via Grounded Natural Language Semantics & Simulation
Mihai Pomarlan, John A. Bateman, "Robot Program Construction via Grounded Natural Language Semantics & Simulation", In Proceedings of the 17th Conference on Autonomous Agents and MultiAgent Systems, 2018.
[pdf] [bib]
[125] Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge
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 Proceedings of The 2nd Conference on Robot Learning, PMLR, vol. 87, , pp. 714-723, 2018.
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[126] Towards Deep Player Behavior Models in MMORPGs
J. Pfau, J.D. Smeddinck, R. Malaka, "Towards Deep Player Behavior Models in MMORPGs", In Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play, pp. 381-392, 2018.
[pdf] [bib] [doi]
[127] Cloud-based Probabilistic Knowledge Services for Instruction Interpretation
Daniel Nyga, Michael Beetz, "Cloud-based Probabilistic Knowledge Services for Instruction Interpretation", Chapter in Robotics Research, Springer, vol. 2, pp. 649-664, 2018.
[bib]
[128] Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge
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.
[pdf] [bib]
[129] URoboSim - Game Engine-based Robot Simulator for Knowledge Generation
Michael Neumann, Michael Beetz, "URoboSim - Game Engine-based Robot Simulator for Knowledge Generation", In IROS 2018, Workshop on Latest Advances in Big Activity Data Sources for Robotics & New Challenges, 2018.
[bib]
[130] Material classification through knocking and grasping by learning of structure-borne sound under changing acoustic conditions
Michael Neumann, Korbinian Nottensteiner, Ingo Kossyk, Zoltan-Csaba Marton, "Material classification through knocking and grasping by learning of structure-borne sound under changing acoustic conditions", In 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), pp. 1269-1275, 2018.
[pdf] [bib] [doi]
[131] Synchronized multimodal recording of a table setting dataset
Moritz Meier, Celeste Mason, Robert Porzel, Felix Putze, Tanja Schultz, "Synchronized multimodal recording of a table setting dataset", In Proceedings of the IROS 2018 Workshop on Latest Advances in Big Activity Data Sources for Robotics & New Challenges (Madrid), 2018.
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[132] Human activities data collection and labeling using a think-aloud protocol in a table setting scenario
C Mason, M Meier, F Ahrens, T Fehr, M Herrmann, F Putze, T Schultz, "Human activities data collection and labeling using a think-aloud protocol in a table setting scenario", In , 2018.
[bib]
[133] Exploring Human Kinematic Control for Robotics Applications: The Role of Afferent Sensory Information in a Precision Task
Jaime Leonardo Maldonado Cañon, Thorsten Kluss, Christoph Zetzsche, "Exploring Human Kinematic Control for Robotics Applications: The Role of Afferent Sensory Information in a Precision Task", In IROS 2018: Workshop - Towards Robots that Exhibit Manipulation Intelligence, 2018.
[bib]
[134] Specializing Underdetermined Action Descriptions Through Plan Projection
Gayane Kazhoyan, Michael Beetz, "Specializing Underdetermined Action Descriptions Through Plan Projection", In arXiv preprint arXiv:1812.08224, 2018.
[pdf] [bib]
[135] Horn-rewritability vs PTime query evaluation in ontology-mediated querying
André Hernich, Carsten Lutz, Fabio Papacchini, Frank Wolter, "Horn-rewritability vs PTime query evaluation in ontology-mediated querying", In IJCAI International Joint Conference on Artificial Intelligence, vol. 2018, pp. 1861-1867, 2018.
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[136] KnowRobSIM—Game Engine-Enabled Knowledge Processing Towards Cognition-Enabled Robot Control
Andrei Haidu, Daniel Beßler, Asil Kaan Bozcuo\uglu, Michael Beetz, "KnowRobSIM—Game Engine-Enabled Knowledge Processing Towards Cognition-Enabled Robot Control", In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4491-4498, 2018.
[pdf] [bib] [doi]
[137] Formal representation of qualitative direction
Christian Freksa, Jasper van de Ven, Diedrich Wolter, "Formal representation of qualitative direction", In International Journal of Geographical Information Science, Taylor & Francis, vol. 0, no. 0, pp. 1-21, 2018.
[pdf] [bib] [doi]
[138] The Exchange of Knowledge using Cloud Robotics
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. Nominated for the Cognitive Award and the Service Award
[pdf] [bib]
[139] The Exchange of Knowledge using Cloud Robotics
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.
[pdf] [bib] [doi]
[140] Owl-enabled assembly planning for robotic agents
Daniel Beßler, Mihai Pomarlan, Michael Beetz, "Owl-enabled assembly planning for robotic agents", In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, pp. 1684-1692, 2018.
[bib]
[141] Knowledge Representation for Cognition-and Learning-enabled Robot Manipulation.
Daniel Beßler, Sebastian Koralewski, Michael Beetz, "Knowledge Representation for Cognition-and Learning-enabled Robot Manipulation.", In CogRob KR, pp. 11-19, 2018.
[pdf] [bib]
[142] Assembly planning in cluttered environments through heterogeneous reasoning
Daniel Beßler, Mihai Pomarlan, Aliakbar Akbari, Mohammed Diab, Jan Rosell, John Bateman, Michael Beetz, others, "Assembly planning in cluttered environments through heterogeneous reasoning", In Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz), pp. 201-214, 2018.
[pdf] [bib]
[143] Know rob 2.0—a 2nd generation knowledge processing framework for cognition-enabled robotic agents
Michael Beetz, Daniel Beßler, Andrei Haidu, Mihai Pomarlan, Asil Kaan Bozcuo\uglu, Georg Bartels, "Know rob 2.0—a 2nd generation knowledge processing framework for cognition-enabled robotic agents", In 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 512-519, 2018.
[pdf] [bib]
[144] Acquiring Knowledge of Object Arrangements from Human Examples for Household Robots
Lisset Salinas Pinacho, Alexander Wich, Fereshta Yazdani, Michael Beetz, "Acquiring Knowledge of Object Arrangements from Human Examples for Household Robots", In KI 2018: Advances in Artificial Intelligence: 41st German Conference on AI, Berlin, Germany, September 24--28, 2018, Proceedings, vol. 11117, pp. 131, 2018.
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[145] Contextualization through Simulation.
John A Bateman, Mihai Pomarlan, Gayane Kazhoyan, "Contextualization through Simulation.", In TriCoLore (C3GI/ISD/SCORE), 2018.
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[146] Variations on a Theme:“It's a Poor Sort of Memory that Only Works Backwards”
Ferenc Bálint-Benczédi, Michael Beetz, "Variations on a Theme:“It's a Poor Sort of Memory that Only Works Backwards”", In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 8390-8396, 2018.
[pdf] [bib] [doi]
[147] Towards a Photorealistic Learning Infrastructure for Human Activities
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]
[148] SAT-Lancer: A Hardware SAT-Solver for Self-Verification
Buse Ustaoglu, Sebastian Huhn, Daniel Große, Rolf Drechsler, "SAT-Lancer: A Hardware SAT-Solver for Self-Verification", In ACM Great Lakes Symposium on VLSI, pp. 479-482, 2018.
[bib]
[149] Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects
Jakob Suchan, Mehul Bhatt, Przemyslaw Andrzej Walega, Carl P. L. Schultz, "Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects", In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, AAAI Press, pp. 1965-1972, 2018.
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[150] Answer Set Programming Modulo 'Space-Time'
Carl P. L. Schultz, Mehul Bhatt, Jakob Suchan, Przemyslaw Andrzej Walega, "Answer Set Programming Modulo 'Space-Time'", In Rules and Reasoning - Second International Joint Conference, RuleML+RR 2018, Luxembourg, September 18-21, 2018, Proceedings, Springer, vol. 11092, pp. 318-326, 2018.
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[151] Multimodal Convolutional Neural Networks for Human Activity Recognition
Konrad Gadzicki, Razieh Khamsehashari, Christoph Zetzsche, "Multimodal Convolutional Neural Networks for Human Activity Recognition", In IROS 2018: Workshop on Latest Advances in Big Activity Data Sources for Robotics & New Challenges, 2018.
[bib]
[152] Horn-Rewritability vs PTime Query Evaluation in Ontology-Mediated Querying
André Hernich, Carsten Lutz, Fabio Papacchini, Frank Wolter, "Horn-Rewritability vs PTime Query Evaluation in Ontology-Mediated Querying", In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden, ijcai.org, pp. 1861-1867, 2018.
[bib]
[153] Complete Approximations of Horn DL Ontologies
Anneke Bötcher, Carsten Lutz, Frank Wolter, "Complete Approximations of Horn DL Ontologies", In Proceedings of the 31st International Workshop on Description Logics co-located with 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018), Tempe, Arizona, US, October 27th - to - 29th, 2018, CEUR-WS.org, vol. 2211, 2018.
[bib]
[154] Principled Support for Pragmatic Ontology Approximation
Anneke Boetcher, Carsten Lutz, Frank Wolter, "Principled Support for Pragmatic Ontology Approximation", In Proceedings of the 31th International Workshop on Description Logics, 2018.
[bib]
[155] If You Ask Nicely: A Digital Assistant Rebuking Impolite Voice Commands
Michael Bonfert, Maximilian Spliethöver, Roman Arzaroli, Marvin Lange, Martin Hanci, Robert Porzel, "If You Ask Nicely: A Digital Assistant Rebuking Impolite Voice Commands", In Proceedings of the 20th ACM International Conference on Multimodal Interaction, Association for Computing Machinery, New York, NY, USA, pp. 95–102, 2018.
[pdf] [bib] [doi]

2017

[156] Verifying next generation electronic systems
R. Drechsler, D. Große, "Verifying next generation electronic systems", In 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS), pp. 6-10, 2017.
[pdf] [bib] [doi]
[157] Guidelines for Improving Task-based Natural Language Understanding in Human-Robot Rescue Teams
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.
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[158] Cognition-enabled Task Interpretation for Human-Robot Teams in a Simulation-based Search and Rescue Mission (Extended Abstract)
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]
[159] Task Parametrization through Multi-modal Analysis of Robot Experiences (Extended Abstract)
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]
[160] Multidimensional Time Series Shapelets Reliably Detect and Classify Contact Events in Force Measurements of Wiping Actions
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]
[161] Updating Bayesian networks using crowds
H Sarma, AB Samaddar, R Porzel, JD Smeddinck, R Malaka, "Updating Bayesian networks using crowds", In Neural Network World, Czech Technical University in Prague, Faculty of Transportation Sciences, vol. 27, no. 5, pp. 529-540, 2017.
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[162] Deeper Understanding of Vague Instructions through Simulated Execution (Extended Abstract)
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]
[163] Instruction Completion through Instance-based Learning and Semantic Analogical Reasoning
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]
[164] What No Robot Has Seen Before -- Probabilistic Interpretation of Natural-language Object Descriptions
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]
[165] Horn Rewritability vs PTime Query Answering for Description Logic TBoxes.
André Hernich, Carsten Lutz, Fabio Papacchini, Frank Wolter, "Horn Rewritability vs PTime Query Answering for Description Logic TBoxes.", In Description Logics, 2017.
[bib]
[166] Designing an ontology for physical exercise actions
Sandeep Kumar Dash, Partha Pakray, Robert Porzel, Jan Smeddinck, Rainer Malaka, Alexander Gelbukh, "Designing an ontology for physical exercise actions", In International Conference on Computational Linguistics and Intelligent Text Processing, pp. 354-362, 2017.
[bib]
[167] A Cloud Service for Robotic Mental Simulations
Asil Kaan Bozcuoglu, Michael Beetz, "A Cloud Service for Robotic Mental Simulations", In International Conference on Robotics and Automation (ICRA), Singapore, 2017.
[bib]
[168] Robotic Agents that Know What They are Doing
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]
[169] Heterogeneous Ontologies and Hybrid Reasoning for Service Robotics: The EASE Framework
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.
[pdf] [bib]
[170] Storing and Retrieving Perceptual Episodic Memories for Long-term Manipulation Tasks
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
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[171] kDet: Parallel Constant Time Collision Detection for Polygonal Objects
René Weller, Nicole Debowski, Gabriel Zachmann, "kDet: Parallel Constant Time Collision Detection for Polygonal Objects", In , vol. 36, no. 2, 2017.
[bib]
[172] Deep Semantic Abstractions of Everyday Human Activities - On Commonsense Representations of Human Interactions
Jakob Suchan, Mehul Bhatt, "Deep Semantic Abstractions of Everyday Human Activities - On Commonsense Representations of Human Interactions", In ROBOT 2017: Third Iberian Robotics Conference - Volume 1, Seville, Spain, November 22-24, 2017, Springer, vol. 693, pp. 477-488, 2017.
[pdf] [bib] [doi]
[173] Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions
Jakob Suchan, Mehul Bhatt, "Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions", In 2017 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2017, Venice, Italy, October 22-29, 2017, IEEE Computer Society, pp. 742-750, 2017.
[pdf] [bib] [doi]
[174] Horn Rewritability vs PTime Query Evaluation for Description Logic TBoxes
Andre Hernich, Carsten Lutz, Fabio Pappachini, Frank Wolter, "Horn Rewritability vs PTime Query Evaluation for Description Logic TBoxes", In Proceedings of the 30th International Workshop on Description Logics, 2017.
[pdf] [bib]
[175] Verifying next generation electronic systems
R. Drechsler, D. Große, "Verifying next generation electronic systems", In 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS), pp. 6-10, 2017.
[pdf] [bib] [doi]
[176] Generic Ontologies and Generic Ontology Design Patterns
Bernd Krieg-Brückner, Till Mossakowski, "Generic Ontologies and Generic Ontology Design Patterns", In 8th Workshop on Ontology Design Patterns - WOP 2017, 2017.
[pdf] [bib]

2016

[177] Robotic Agents Representing, Reasoning, and Executing Wiping Tasks for Daily Household Chores
Daniel Leidner, Wissam Bejjani, Alin Albu-Schäffer, Michael Beetz, "Robotic Agents Representing, Reasoning, and Executing Wiping Tasks for Daily Household Chores", In Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, pp. 1006-1014, 2016.
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[178] Whole-body impedance control of wheeled mobile manipulators
Alexander Dietrich, Kristin Bussmann, Florian Petit, Paul Kotyczka, Christian Ott, Boris Lohmann, Alin Albu-Schäffer, "Whole-body impedance control of wheeled mobile manipulators", In Autonomous Robots, Springer, vol. 40, no. 3, pp. 505-517, 2016.
[bib] [doi]
[179] Open Robotics Research Using Web-based Knowledge Services
M. Beetz, D. Beßler, J. Winkler, J.-H. Worch, F. Bálint-Benczédi, G. Bartels, A. Billard, A. K. Bozcuoglu, Z. Fang, N. Figueroa, Andrei Haidu, H. Langer, A. Maldonado, A. Pais, M. Tenorth, T. Wiedemeyer, "Open Robotics Research Using Web-based Knowledge Services", In International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 2016.
[pdf] [bib]
[180] Scaling Perception Towards Autonomous Object Manipulation --- In Knowledge Lies the Power
Ferenc Bálint-Benczédi, 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.
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[181] Semantic Question-Answering with Video and Eye- Tracking Data – AI Foundations for Human Visual Perception Driven Cognitive Film Studies
Jakob Suchan, Mehul Bhatt, "Semantic Question-Answering with Video and Eye- Tracking Data – AI Foundations for Human Visual Perception Driven Cognitive Film Studies", In IJCAI 2016: 25th International Joint Conference on Artificial Intelligence, New York City, USA, 2016.
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[182] ParCoSS: Efficient Parallelized Compiled Symbolic Simulation
Vladimir Herdt, Hoang M. Le, Daniel Große, Rolf Drechsler, "ParCoSS: Efficient Parallelized Compiled Symbolic Simulation", In Computer Aided Verification, 2016.
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[183] Extended Kalman filter with manifold state representation for navigating a maneuverable melting probe
Joachim Clemens, Kerstin Schill, "Extended Kalman filter with manifold state representation for navigating a maneuverable melting probe", In , 2016.
[bib]

2015

[184] Prospection in Cognition: The Case for Joint Episodic-Procedural Memory in Cognitive Robotics
David Vernon, Michael Beetz, Giulio Sandini, "Prospection in Cognition: The Case for Joint Episodic-Procedural Memory in Cognitive Robotics", In Frontiers in Robotics and AI, vol. 2, no. 19, 2015.
[pdf] [bib] [doi]
[185] Open-EASE -- A Cloud-Based Knowledge Service for Autonomous Learning
Moritz Tenorth, Jan Winkler, Daniel Beßler, Michael Beetz, "Open-EASE -- A Cloud-Based Knowledge Service for Autonomous Learning", In KI -- KÃŒnstliche Intelligenz, Springer Berlin Heidelberg, 2015.
[bib] [doi]
[186] Knowledge-Enabled Parameterization of Whole-Body Control Strategies for Compliant Service Robots
Daniel Leidner, Alexander Dietrich, Michael Beetz, Alin Albu-Schäffer, "Knowledge-Enabled Parameterization of Whole-Body Control Strategies for Compliant Service Robots", In Autonomous Robots (AURO): Special Issue on Whole-Body Control of Contacts and Dynamics for Humanoid Robots, Springer US, 2015.
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[187] Online prediction of activities with structure: Exploiting contextual associations and sequences
Nicholas H Kirk, Karinne Ramírez-Amaro, Emmanuel Dean-León, Matteo Saveriano, Gordon Cheng, "Online prediction of activities with structure: Exploiting contextual associations and sequences", In 15th IEEE-RAS International Conference on Humanoid Robots, pp. 744-749, 2015.
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[188] Generalizing Torque Control Concepts: Using Well-Established Torque Control Methods on Variable Stiffness Robots.
Florian Petit, Alexander Dietrich, Alin Albu-Schäffer, "Generalizing Torque Control Concepts: Using Well-Established Torque Control Methods on Variable Stiffness Robots.", In IEEE Robot. Automat. Mag., vol. 22, no. 4, pp. 37-51, 2015.
[pdf] [bib]
[189] Robots, Pancakes, and Computer Games: Designing Serious Games for Robot Imitation Learning
Benjamin Walther-Franks, Jan Smeddinck, Peter Szmidt, Andrei Haidu, Michael Beetz, Rainer Malaka, "Robots, Pancakes, and Computer Games: Designing Serious Games for Robot Imitation Learning", In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15), New York, NY, USA, 2015.
[pdf] [bib]
[190] RoboSherlock: Unstructured Information Processing for Robot Perception
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
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[191] Transferring Skills to Humanoid Robots by Extracting Semantic Representations from Observations of Human Activities
Karinne Ramirez-Amaro, Michael Beetz, Gordon Cheng, "Transferring Skills to Humanoid Robots by Extracting Semantic Representations from Observations of Human Activities", In Artificial Intelligence Journal, 2015.
[bib]
[192] Pervasive 'Calm' Perception for Autonomous Robotic Agents
Thiemo Wiedemeyer, Ferenc Bálint-Benczédi, Michael Beetz, "Pervasive 'Calm' Perception for Autonomous Robotic Agents", In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, pp. 871-879, 2015.
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[193] Understanding the intention of human activities through semantic perception: observation, understanding and execution on a humanoid robot
Karinne Ramirez-Amaro, Michael Beetz, Gordon Cheng, "Understanding the intention of human activities through semantic perception: observation, understanding and execution on a humanoid robot", In Advanced Robotics, vol. 29, no. 5, pp. 345-362, 2015.
[bib]
[194] Envisioning the qualitative effects of robot manipulation actions using simulation-based projections
Lars Kunze, Michael Beetz, "Envisioning the qualitative effects of robot manipulation actions using simulation-based projections", In Artificial Intelligence Journal (AIJ), Special Issue on AI and Robotics, 2015.
[bib]
[195] Verifying SystemC Using Stateful Symbolic Simulation
Vladimir Herdt, Hoang M. Le, Rolf Drechsler, "Verifying SystemC Using Stateful Symbolic Simulation", In Design Automation Conference, pp. 49:1-49:6, 2015.
[bib]
[196] Robust Semantic Representations for Inferring Human Co-manipulation Activities even with Different Demonstration Styles
Karinne Ramirez-Amaro, Emmanuel Dean-Leon, Gordon Cheng, "Robust Semantic Representations for Inferring Human Co-manipulation Activities even with Different Demonstration Styles", In 15th IEEE-RAS International Conference on Humanoid Robots, Seoul, Korea, 2015.
[bib]

2014

[197] CRAMm -- Memories for Robots Performing Everyday Manipulation Activities
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]
[198] Knowledge-based Specification of Robot Motions
Moritz Tenorth, Georg Bartels, Michael Beetz, "Knowledge-based Specification of Robot Motions", In Proceedings of the European Conference on Artificial Intelligence (ECAI), 2014.
[pdf] [bib]
[199] Real-time hand tracking using synergistic inverse kinematics
Matthias Schröder, Jonathan Maycock, Helge Ritter, Mario Botsch, "Real-time hand tracking using synergistic inverse kinematics", In Robotics and Automation (ICRA), 2014 IEEE International Conference on, pp. 5447-5454, 2014.
[bib]
[200] PR2 Looking at Things: Ensemble Learning for Unstructured Information Processing with Markov Logic Networks
Daniel Nyga, Ferenc Bálint-Benczédi, 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.
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[201] Evidential Object Recognition Based on Information Gain Maximization
Thomas Reineking, Kerstin Schill, "Evidential Object Recognition Based on Information Gain Maximization", Chapter in Belief Functions: Theory and Applications, Springer International Publishing, vol. 8764, pp. 227-236, 2014.
[pdf] [bib] [doi]
[202] Requirements Engineering for Cyber-Physical Systems - Challenges in the Context of "Industrie 4.0"
Stefan Wiesner, Christian Gorldt, Mathias Soeken, Klaus-Dieter Thoben, Rolf Drechsler, "Requirements Engineering for Cyber-Physical Systems - Challenges in the Context of "Industrie 4.0"", In Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World - IFIP WG 5.7 International Conference, APMS 2014, Ajaccio, France, September 20-24, 2014, Proceedings, Part I, pp. 281-288, 2014.
[bib]

2013

[203] Learning Probability Distributions over Partially-Ordered Human Everyday Activities
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.
[pdf] [bib]
[204] KnowRob -- A Knowledge Processing Infrastructure for Cognition-enabled Robots. Part 1: The KnowRob System
Moritz Tenorth, Michael Beetz, "KnowRob -- A Knowledge Processing Infrastructure for Cognition-enabled Robots. Part 1: The KnowRob System", In International Journal of Robotics Research (IJRR), vol. 32, no. 5, pp. 566-590, 2013.
[bib]
[205] Decomposing CAD Models of Objects of Daily Use and Reasoning about their Functional Parts
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.
[pdf] [bib]
[206] Fast Temporal Projection Using Accurate Physics-Based Geometric Reasoning
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]
[207] Verifying SystemC using an intermediate verification language and symbolic simulation
Hoang M. Le, Daniel Große, Vladimir Herdt, Rolf Drechsler, "Verifying SystemC using an intermediate verification language and symbolic simulation", In Design Automation Conference, pp. 116:1-116:6, 2013.
[bib]
[208] Space, Language and Ontology: A Response to Davis
John A. Bateman, "Space, Language and Ontology: A Response to Davis", In Spatial Cognition & Computation, vol. 13, no. 4, pp. 295-314, 2013.
[bib] [doi]

2012

[209] Knowledge Enabled High-Level Task Abstraction and Execution
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.
[pdf] [bib]
[210] Everything Robots Always Wanted to Know about Housework (But were afraid to ask)
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.
[pdf] [bib]
[211] Ensembles of Strong Learners for Multi-cue Classification
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.
[pdf] [bib]
[212] Cognition-Enabled Autonomous Robot Control for the Realization of Home Chore Task Intelligence
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.
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[213] An Automata-Theoretic Approach to Uniform Interpolation and Approximation in the Description Logic $\mathcalE\!\!\:L$
Carsten Lutz, Inanç Seylan, Frank Wolter, "An Automata-Theoretic Approach to Uniform Interpolation and Approximation in the Description Logic $\mathcalE\!\!\:L$", In KR-12, AAAI Press, 2012.
[bib]
[214] Automatic TLM Fault Localization for SystemC
Hoang M. Le, Daniel Große, Rolf Drechsler, "Automatic TLM Fault Localization for SystemC", In IEEE Transactions on Computer Aided Design of Circuits and Systems, vol. 31, no. 8, pp. 1249-1262, 2012.
[bib]
[215] Non-Uniform Data Complexity of Query Answering in Description Logics
Carsten Lutz, Frank Wolter, "Non-Uniform Data Complexity of Query Answering in Description Logics", In KR-12, 2012.
[bib]

2011

[216] Robotic Roommates Making Pancakes
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.
[pdf] [bib]
[217] Imitating human reaching motions using physically inspired optimization principles
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]
[218] How-Models of Human Reaching Movements in the Context of Everyday Manipulation Activities
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.
[pdf] [bib]
[219] Parameterizing Actions to have the Appropriate Effects
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]
[220] Description Logic TBoxes: Model-Theoretic Characterizations and Rewritability
Carsten Lutz, Robert Piro, Frank Wolter, "Description Logic TBoxes: Model-Theoretic Characterizations and Rewritability", In IJCAI-11, IJCAI/AAAI, pp. 983-988, 2011.
[bib]
[221] Effective Robustness Analysis Using Bounded Model Checking Techniques
Görschwin Fey, André Sülflow, Stefan Frehse, Rolf Drechsler, "Effective Robustness Analysis Using Bounded Model Checking Techniques", In IEEE Trans. on CAD of Integrated Circuits and Systems, vol. 30, no. 8, pp. 1239-1252, 2011.
[bib]
[222] Foundations for Uniform Interpolation and Forgetting in Expressive Description Logics
Carsten Lutz, Frank Wolter, "Foundations for Uniform Interpolation and Forgetting in Expressive Description Logics", In IJCAI-11, IJCAI/AAAI, pp. 989-995, 2011.
[bib]

2010

[223] Becoming Action-aware through Reasoning about Logged Plan Execution Traces
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]
[224] CRAM -- A Cognitive Robot Abstract Machine for Everyday Manipulation in Human Environments
Michael Beetz, Lorenz Mösenlechner, Moritz Tenorth, "CRAM -- A Cognitive Robot Abstract Machine for Everyday Manipulation in Human Environments", In IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, pp. 1012-1017, 2010.
[pdf] [bib]
[225] Towards Automated Models of Activities of Daily Life
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.
[pdf] [bib]
[226] Language and Space: a two-level semantic approach based on principles of ontological engineering
John A. Bateman, "Language and Space: a two-level semantic approach based on principles of ontological engineering", Springer, vol. 13, no. 1, pp. 29-48, 2010.
[bib] [doi]

2009

[227] The TUM Kitchen Data Set of Everyday Manipulation Activities for Motion Tracking and Action Recognition
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.
[pdf] [bib]
[228] Compact Models of Motor Primitive Variations for Predictable Reaching and Obstacle Avoidance
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]
[229] Advanced verification by automatic property generation
Frank Rogin, Thomas Klotz, Görschwin Fey, Rolf Drechsler, Steffen Rülke, "Advanced verification by automatic property generation", In IET Computers & Digital Techniques, vol. 3, no. 4, pp. 338-353, 2009.
[bib]

2008

[230] Improved SAT-based Reachability Analysis with Observability Don't Cares
Sean Safarpour, Andreas G. Veneris, Rolf Drechsler, "Improved SAT-based Reachability Analysis with Observability Don't Cares", In JSAT, vol. 5, no. 1-4, pp. 1-25, 2008.
[bib]

2007

[231] Ontological Modularity and Spatial Diversity
John A. Bateman, Stefano Borgo, Klaus Lüttich, Claudio Masolo, Till Mossakowski, "Ontological Modularity and Spatial Diversity", In Spatial Cognition and Computation, vol. 7, no. 1, pp. 97-128, 2007.
[bib]

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