[1] | Bateman, John, Beetz, Michael, Beßler, Daniel, Bozcuoglu, Asil Kaan and Pomarlan, Mihai, "Heterogeneous Ontologies and Hybrid Reasoning for Service Robotics: The EASE Framework", In Third Iberian Robotics Conference, Sevilla, Spain, 2017.
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[2] | Pomarlan, Mihai, Nyga, Daniel, Picklum, Mareike, Koralewski, Sebastian and Beetz, Michael, "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.
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[3] | Winkler, Jan, Bozcuoglu, Asil Kaan, Pomarlan, Mihai and Beetz, Michael, "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.
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[4] | Bateman, John A, Pomarlan, Mihai and Kazhoyan, Gayane, "Contextualization through Simulation.", In TriCoLore (C3GI/ISD/SCORE), 2018.
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[5] | Beetz, Michael, Beßler, Daniel, Haidu, Andrei, Pomarlan, Mihai, Bozcuo\uglu, Asil Kaan and Bartels, Georg, "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.
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[6] | Beßler, Daniel, Pomarlan, Mihai, Akbari, Aliakbar, Diab, Mohammed, Rosell, Jan, Bateman, John, Beetz, Michael and others, "Assembly planning in cluttered environments through heterogeneous reasoning", In Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz), pp. 201–214, 2018.
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[7] | Beßler, Daniel, Pomarlan, Mihai and Beetz, Michael, "Owl-enabled assembly planning for robotic agents", In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, pp. 1684–1692, 2018.
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[8] | Nyga, Daniel, Roy, Subhro, Paul, Rohan, Park, Daehyung, Pomarlan, Mihai, Beetz, Michael and Roy, Nicholas, "Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge", In 2nd Conference on Robot Learning (CoRL 2018), Zurich, Switzerland, 2018.
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[9] | Pomarlan, Mihai and Bateman, John A., "Robot Program Construction via Grounded Natural Language Semantics & Simulation", In Proceedings of the 17th Conference on Autonomous Agents and MultiAgent Systems, 2018.
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[10] | Pomarlan, Mihai and Bateman, John, "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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[11] | Pomarlan, Mihai, Porzel, Robert, Bateman, John and Malaka, Rainer, "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.
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[12] | Pomarlan, Mihai and Bateman, John, "Understanding NLP Neural Networks by the Texts They Generate", In Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz), pp. 284–296, 2018.
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[13] | Nyga, Daniel, Roy, Subhro, Paul, Rohan, Park, Daehyung, Pomarlan, Mihai, Beetz, Michael and Roy, Nicholas, "Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge", In Proceedings of The 2nd Conference on Robot Learning (Billard, Aude, Dragan, Anca, Peters, Jan, Morimoto, Jun, eds.), PMLR, , pp. 714–723, 2018.
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[14] | Diab, Mohammed, Pomarlan, Mihai, Beßler, Daniel, Abkari, Aliakbar, Rossel, Jan, Bateman, John and Beetz, Michael, "An Ontology for Failure Interpretation in Automated Planning and Execution", In Fourth Iberian Robotics Conference, Porto, Portugal, 2019.
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[15] | Diab, Mohammed, Pomarlan, Mihai, Beßler, Daniel, Akbari, Aliakbar, Rosell, Jan, Bateman, John and Beetz, Michael, "An Ontology for Failure Interpretation in Automated Planning and Execution", In Iberian Robotics conference, pp. 381–390, 2019.
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[16] | Pfau, Johannes, Porzel, Robert, Pomarlan, Mihai, Cangalovic, Vanja Sophie, Grudpan, Supara, Höffner, Sebastian, Bateman, John and Malaka, Rainer, "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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[17] | Pomarlan, Mihai, "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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[18] | Krieg-Brückner, Bernd, Codescu, Mihai and Pomarlan, Mihai, "Modelling Episodes with Generic Ontology Design Patterns", In Proceedings of the Workshop on Scalable Knowledge Graph Engineering 2020, 2020.
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[19] | Pomarlan, Mihai, Cangalovic, Vanja Sophie, Porzel, Robert and Bateman, John, "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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[20] | Pomarlan, Mihai and Bateman, John A., "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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[21] | Diab, Mohammed, Pomarlan, Mihai, Beßler, Daniel, Borgo, Stefano, and Rosell, Jan, ""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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[22] | Beßler, Daniel, Porzel, Robert, Pomarlan, Mihai, Vyas, Abhijit, Hoffner, Sebastian, Beetz, Michael, Malaka, Rainer and Bateman, John, "Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents", In In Formal Ontology in Information Systems - 12th International Conference, FOIS 2021, Bozen-Bolzano, Italy, September 13-16, 2021, IOS Press, 2021. Accepted for publication, 2021.
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[23] | Hedblom, Maria M., Pomarlan, Mihai, Porzel, Robert, Malaka, Rainer and Beetz, Michael, "Dynamic Action Selection Using Image Schema-based Reasoning for Robots", In JOWO, 2021, Bolzano, Italy (September 2021), CEUR-WS.org, 2021.
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[24] | Pomarlan, Mihai, Hedblom, Maria M. and Porzel, Robert, "Panta Rhei: Curiosity-Driven Exploration to Learn the Image-Schematic Affordances of Pouring Liquids", In The 29th Irish Conference on Artificial Intelligence and Cognitive Science, CEUR-WS.org, 2021.
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[25] | Diab, Mohammed, Pomarlan, Mihai, Borgo, Stefano, Beßler, Daniel, Rossell, Jan, Bateman, John and Beetz, Michael, "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.
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[26] | Pomarlan, Mihai, Hedblom, Maria M. and Porzel, Robert, "Curiously exploring affordance spaces of a pouring task", WILEY, 2022.
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[27] | Pomarlan, Mihai, Righetti, Guendalina and Bateman, John A., "It Is What It Tends to Do: Defining Qualitative Parameter Regions by Their Effects on Physical Behavior", In The Sixth Image Schema Day (ISD6), March 24–25, 2022, Jönköping University, Sweden, CEUR-WS.org, 2022.
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[28] | Pomarlan, Mihai and Porzel, Robert, "Narrative Objects", 2022.
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[29] | Porzel, Robert, Pomarlan, Mihai, Spillner, Laura, Bateman, John, Mildner, Thomas and Santagiustina, Carlo, "Narrativizing Knowledge Graphs", In International Workshop on Knowledge Graph Summarization, October 23-24, 2022, online, CEUR-WS.org, 2022.
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[30] | Höffner, Sebastian, Porzel, Robert, Hedblom, Maria M., Pomarlan, Mihai, Cangalovic, Vanja Sophie, Pfau, Johannes Bateman, John A. and Malaka, Rainer, "Deep understanding of everyday activity commands for household robots", Semantic Web, vol. vol. 13, no. 5, pp. 895-909doi=10.3233/SW-222973, 2022.
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[31] | Beßler, Daniel, Porzel, Robert, Pomarlan, Mihai and Beetz, Michael, "Foundational Models for Manipulation Activity Parsing", Springer, 2023.
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[32] | Pomarlan, Mihai, Dhanabalachandran, Kaviya and Beetz, Michael, "Towards Reactive Robotics with a Pinch of Image-Schematic Reasoning", 2023.
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