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ORCIDMichael Beetz
Person information
- affiliation: University of Bremen, Germany
- affiliation (2002 - 2012): Technical University Munich, Germany
- affiliation (1996 - 2001): University of Bonn, Germany
- affiliation (PhD 1996): Yale University, New Haven, CT, USA
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2020 – today
- 2023
[j81]Alessandra Sciutti
, Michael Beetz, Tetsunari Inamura, Ayorkor Korsah, Jean Oh, Giulio Sandini, Shingo Shimoda, David Vernon:
The Present and the Future of Cognitive Robotics [TC Spotlight]. IEEE Robotics Autom. Mag. 30(3): 160-163 (2023)- [c269]Michaela Kümpel, Jonas Dech, Alina Hawkin, Michael Beetz:
Robotic Shopping Assistance for Everyone: Dynamic Query Generation on a Semantic Digital Twin as a Basis for Autonomous Shopping Assistance. AAMAS 2023: 2523-2525 - [c268]Florian Ahrens, Mihai Pomarlan, Daniel Beßler, Thorsten Fehr, Michael Beetz, Manfred Herrmann:
Towards a Neuronally Consistent Ontology for Robotic Agents. ECAI 2023: 36-43 - [c267]Mihai Pomarlan, Kaviya Dhanabalachandran, Michael Beetz:
Towards Reactive Robotics with a Pinch of Image-Schematic Reasoning. ISD 2023 - [c266]Benjamin Alt, Franklin Kenghagho Kenfack, Andrei Haidu, Darko Katic, Rainer Jäkel, Michael Beetz:
Knowledge-Driven Robot Program Synthesis from Human VR Demonstrations. KR 2023: 34-43 - [c265]Michael Beetz:
Plan-based Control of Robot Agents - Reasoning with One's Eyes and Hands (keynote). PLATO@ICAPS 2023 - [i29]Daniel Nyga, Mareike Picklum, Tom Schierenbeck, Michael Beetz:
Joint Probability Trees. CoRR abs/2302.07167 (2023) - [i28]Michael Beetz, Gayane Kazhoyan, David Vernon:
The CRAM Cognitive Architecture for Robot Manipulation in Everyday Activities. CoRR abs/2304.14119 (2023) - [i27]Anna-Lisa Vollmer, Daniel Leidner, Michael Beetz, Britta Wrede:
From Interactive to Co-Constructive Task Learning. CoRR abs/2305.15535 (2023) - [i26]Benjamin Alt, Franklin Kenghagho Kenfack, Andrei Haidu, Darko Katic, Rainer Jäkel, Michael Beetz:
Knowledge-Driven Robot Program Synthesis from Human VR Demonstrations. CoRR abs/2306.02739 (2023) - [i25]Florian Ahrens, Mihai Pomarlan, Daniel Beßler, Thorsten Fehr, Michael Beetz, Manfred Herrmann:
Towards a Neuronally Consistent Ontology for Robotic Agents. CoRR abs/2309.14841 (2023) - [i24]Tom Schierenbeck, Vladimir Vutov, Thorsten Dickhaus, Michael Beetz:
Integrating Transformations in Probabilistic Circuits. CoRR abs/2310.04354 (2023) - [i23]Giang Hoang Nguyen, Daniel Beßler, Simon Stelter, Mihai Pomarlan, Michael Beetz:
Translating Universal Scene Descriptions into Knowledge Graphs for Robotic Environment. CoRR abs/2310.16737 (2023) - 2022
- [j80]Jesse Richter-Klug, Patrick Mania, Gayane Kazhoyan, Michael Beetz, Udo Frese:
Improving Object Pose Estimation by Fusion With a Multimodal Prior - Utilizing Uncertainty-Based CNN Pipelines for Robotics. IEEE Robotics Autom. Lett. 7(2): 2282-2288 (2022) - [j79]Adrian Röfer, Georg Bartels, Wolfram Burgard, Abhinav Valada, Michael Beetz:
Kineverse: A Symbolic Articulation Model Framework for Model-Agnostic Mobile Manipulation. IEEE Robotics Autom. Lett. 7(2): 3372-3379 (2022) - [j78]David Vernon, Josefine Albert, Michael Beetz, Shiau-Chuen Chiou, Helge J. Ritter, Werner X. Schneider:
Action Selection and Execution in Everyday Activities: A Cognitive Robotics and Situation Model Perspective. Top. Cogn. Sci. 14(2): 344-362 (2022) - [c264]Alexander Wich, Holger Schultheis, Michael Beetz:
Empirical Estimates on Hand Manipulation are Recoverable: A Step Towards Individualized and Explainable Robotic Support in Everyday Activities. AAMAS 2022: 1382-1390 - [c263]Franklin Kenghagho Kenfack, Michael Neumann, Patrick Mania, Toni Tan, Feroz Ahmed Siddiky, René Weller, Gabriel Zachmann, Michael Beetz:
NaivPhys4RP - Towards Human-like Robot Perception "Physical Reasoning based on Embodied Probabilistic Simulation". Humanoids 2022: 815-822 - [c262]Michael Beetz:
Knowledge Representation & Reasoning in CRAM: A Cognitive Architecture for Robot Agents Accomplishing Everyday Manipulation Tasks. ICAART (1) 2022: 5 - [c261]Simon Stelter, Georg Bartels, Michael Beetz:
An open-source motion planning framework for mobile manipulators using constraint-based task space control with linear MPC. IROS 2022: 1671-1678 - [c260]Benjamin Alt, Darko Katic, Rainer Jäkel, Michael Beetz:
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments. IROS 2022: 8887-8893 - [c259]Kaviya Dhanabalachandran, Maria M. Hedblom, Michael Beetz:
A Balancing Act: Ordering Algorithm and Image-Schematic Action Descriptors for Stacking Object for Household Robots. JOWO 2022 - [c258]Anthony Remazeilles, Irati Rasines, Asier Fernandez, Maike Neumann, Michael Beetz, Mathieu Grossard, Clive Hellingman, Carl-Helmut Coulon, Torben Cichon, Florian Gosselin, Markus Vincze:
Robotizing the Sterility Testing Process: Scientific Challenges for Bringing Agile Robots into the Laboratory. ROBOT (1) 2022: 223-234 - [i22]Alexander Wich, Holger Schultheis, Michael Beetz:
Empirical Estimates on Hand Manipulation are Recoverable: A Step Towards Individualized and Explainable Robotic Support in Everyday Activities. CoRR abs/2201.11824 (2022) - [i21]Benjamin Alt, Darko Katic, Rainer Jäkel, Michael Beetz:
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments. CoRR abs/2207.07524 (2022) - 2021
- [c257]Daniel Beßler, Robert Porzel, Mihai Pomarlan, Abhijit Vyas, Sebastian Höffner, Michael Beetz, Rainer Malaka, John A. Bateman:
Foundations of the Socio-Physical Model of Activities (SOMA) for Autonomous Robotic Agents. FOIS 2021: 159-174 - [c256]Benjamin Alt, Darko Katic, Rainer Jäkel, Asil Kaan Bozcuoglu, Michael Beetz:
Robot Program Parameter Inference via Differentiable Shadow Program Inversion. ICRA 2021: 4672-4678 - [c255]Gayane Kazhoyan, Simon Stelter, Franklin Kenghagho Kenfack, Sebastian Koralewski, Michael Beetz:
The Robot Household Marathon Experiment. ICRA 2021: 9382-9388 - [c254]Andrei Haidu, Michael Beetz:
Automated acquisition of structured, semantic models of manipulation activities from human VR demonstration. ICRA 2021: 9460-9466 - [c253]Andrei Haidu, Xiaoyue Zhang, Michael Beetz:
Knowledge-Enabled Generation of Semantically Annotated Image Sequences of Manipulation Activities from VR Demonstrations. ICVS 2021: 130-143 - [c252]Patrick Mania, Franklin Kenghagho Kenfack, Michael Neumann, Michael Beetz:
Imagination-enabled Robot Perception. IROS 2021: 936-943 - [c251]Mohammed Diab, Mihai Pomarlan, Stefano Borgo, Daniel Beßler, Jan Rossel, John A. Bateman, Michael Beetz:
FailRecOnt - An Ontology-Based Framework for Failure Interpretation and Recovery in Planning and Execution. JOWO 2021 - [c250]Maria M. Hedblom, Mihai Pomarlan, Robert Porzel, Rainer Malaka, Michael Beetz:
Dynamic Action Selection Using Image Schema-Based Reasoning for Robots. JOWO 2021 - [c249]Abhijit Vyas, Daniel Beßler, Michael Beetz:
Inferring Dispositions from Object Shape and Material with Physics Game Engine Modelling. JOWO 2021 - [c248]Kaviya Dhanabalachandran, Vanessa Hassouna, Maria M. Hedblom, Michaela Kümpel, Nils Leusmann, Michael Beetz:
Cutting Events: Towards Autonomous Plan Adaption by Robotic Agents through Image-Schematic Event Segmentation. K-CAP 2021: 25-32 - [i20]Benjamin Alt, Darko Katic, Rainer Jäkel, Asil Kaan Bozcuoglu, Michael Beetz:
Robot Program Parameter Inference via Differentiable Shadow Program Inversion. CoRR abs/2103.14452 (2021) - [i19]Daniel Beßler, Sascha Jongebloed, Michael Beetz:
Prolog as a Querying Language for MongoDB. CoRR abs/2110.01284 (2021) - 2020
- [j77]Alberto Olivares Alarcos, Daniel Beßler, Alaa M. Khamis, Paulo Jorge Sequeira Gonçalves, Maki K. Habib, Julita Bermejo-Alonso, Marcos Barreto, Mohammed Diab, Jan Rosell, João Quintas, Joanna Isabelle 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 - ADDENDUM. Knowl. Eng. Rev. 35: e5 (2020) - [j76]Marco Costanzo, Simon Stelter, Ciro Natale, Salvatore Pirozzi, Georg Bartels, Alexis Maldonado, Michael Beetz:
Manipulation Planning and Control for Shelf Replenishment. IEEE Robotics Autom. Lett. 5(2): 1595-1601 (2020) - [j75]Mohammed Diab, Mihai Pomarlan, Daniel Beßler, Aliakbar Akbari, Jan Rosell, John A. Bateman, Michael Beetz:
SkillMaN - A skill-based robotic manipulation framework based on perception and reasoning. Robotics Auton. Syst. 134: 103653 (2020) - [c247]Daniel Beßler, Robert Porzel, Mihai Pomarlan, Michael Beetz, Rainer Malaka, John A. Bateman:
A Formal Model of Affordances for Flexible Robotic Task Execution. ECAI 2020: 2425-2432 - [c246]Gayane Kazhoyan, Arthur Niedzwiecki, Michael Beetz:
Towards Plan Transformations for Real-World Mobile Fetch and Place. ICRA 2020: 11011-11017 - [c245]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. IROS 2020: 9667-9674 - [c244]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. IROS 2020: 9736-9743 - [c243]Michaela Kümpel, Anna de Groot, Ilaria Tiddi, Michael Beetz:
Using Linked Data to Help Robots Understand Product-related Actions. JOWO 2020 - [c242]Madhura Thosar, Christian A. Mueller, Georg Jäger, Max Pfingsthorn, Michael Beetz, Sebastian Zug, Till Mossakowski:
Substitute selection for a missing tool using robot-centric conceptual knowledge of objects. SAC 2020: 972-979 - [i18]Gayane Kazhoyan, Simon Stelter, Franklin Kenghagho Kenfack, Sebastian Koralewski, Michael Beetz:
The Robot Household Marathon Experiment. CoRR abs/2011.09792 (2020) - [i17]Patrick Mania, Franklin Kenghagho Kenfack, Michael Neumann, Michael Beetz:
Imagination-enabled Robot Perception. CoRR abs/2011.11397 (2020) - [i16]Daniel Beßler, Robert Porzel, Mihai Pomarlan, Abhijit Vyas, Sebastian Höffner, Michael Beetz, Rainer Malaka, John A. Bateman:
Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents. CoRR abs/2011.11972 (2020) - [i15]Andrei Haidu, Michael Beetz:
Automated acquisition of structured, semantic models of manipulation activities from human VR demonstration. CoRR abs/2011.13689 (2020) - [i14]Michael Neumann, Sebastian Koralewski, Michael Beetz:
URoboSim - An Episodic Simulation Framework for Prospective Reasoning in Robotic Agents. CoRR abs/2012.04442 (2020) - [i13]Adrian Röfer, Georg Bartels, Michael Beetz:
Kineverse: A Symbolic Articulation Model Framework for Model-Generic Software for Mobile Manipulation. CoRR abs/2012.05362 (2020)
2010 – 2019
- 2019
- [j74]Tetsunari Inamura, Hiroki Yokoyama, Emre Ugur, Xavier Hinaut, Michael Beetz, Tadahiro Taniguchi:
Section focused on machine learning methods for high-level cognitive capabilities in robotics. Adv. Robotics 33(11): 537-538 (2019) - [j73]Tom Williams, Fereshta Yazdani, Prasanth Suresh, Matthias Scheutz, Michael Beetz:
Dempster-Shafer theoretic resolution of referential ambiguity. Auton. Robots 43(2): 389-414 (2019) - [j72]Minija Tamosiunaite, Mohamad Javad Aein, Jan-Matthias Braun, Tomas Kulvicius, Irena Markievicz, Jurgita Kapociute-Dzikiene, Rita Valteryte, Andrei Haidu, Dimitrios Chrysostomou, Barry Ridge, Tomas Krilavicius, Daiva Vitkute-Adzgauskiene, Michael Beetz, Ole Madsen, Ales Ude, Norbert Krüger, Florentin Wörgötter:
Cut & recombine: reuse of robot action components based on simple language instructions. Int. J. Robotics Res. 38(10-11) (2019) - [j71]Martin J. Schuster, Korbinian Schmid, Christoph Brand, Michael Beetz:
Distributed stereo vision-based 6D localization and mapping for multi-robot teams. J. Field Robotics 36(2): 305-332 (2019) - [j70]Alberto Olivares Alarcos, Daniel Beßler, Alaa M. Khamis, Paulo Jorge Sequeira Gonçalves, Maki K. Habib, Julita Bermejo-Alonso, Marcos Barreto, Mohammed Diab, Jan Rosell, João Quintas, Joanna Isabelle Olszewska, Hirenkumar Nakawala, Edison Pignaton de Freitas, Amelie Gyrard, Stefano Borgo, Guillem Alenyà, Michael Beetz, Howard Li:
A review and comparison of ontology-based approaches to robot autonomy. Knowl. Eng. Rev. 34: e29 (2019) - [j69]Martin Ruskowski, Tatjana Legler, Michael Beetz, Georg Bartels:
Special Issue on Smart Production. Künstliche Intell. 33(2): 111-116 (2019) - [j68]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. Künstliche Intell. 33(2): 123-130 (2019) - [j67]Georg Bartels, Michael Beetz:
Perception-Guided Mobile Manipulation Robots for Automation of Warehouse Logistics - Interview with Dr. Moritz Tenorth, CTO of the Startup Magazino. Künstliche Intell. 33(2): 189-192 (2019) - [j66]Georg Bartels, Michael Beetz:
From Research to Market: Building the Perception Systems for the Next Generation of Industrial Robots - Interview with Dr. Michael Suppa, CEO and Founder of the Startup Roboception. Künstliche Intell. 33(2): 193-196 (2019) - [j65]Sebastian Georg Brunner, Andreas Dömel, Peter Lehner, Michael Beetz, Freek Stulp:
Autonomous Parallelization of Resource-Aware Robotic Task Nodes. IEEE Robotics Autom. Lett. 4(3): 2599-2606 (2019) - [j64]Sebastian Koralewski, Gayane Kazhoyan, Michael Beetz:
Self-Specialization of General Robot Plans Based on Experience. IEEE Robotics Autom. Lett. 4(4): 3766-3773 (2019) - [j63]Daniel Leidner, Georg Bartels, Wissam Bejjani, Alin Albu-Schäffer, Michael Beetz:
Cognition-enabled robotic wiping: Representation, planning, execution, and interpretation. Robotics Auton. Syst. 114: 199-216 (2019) - [j62]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. Robotics Auton. Syst. 117: 80-91 (2019) - [j61]Karinne Ramirez-Amaro, Michael Beetz, Yasuo Kuniyoshi:
Purposive learning: Robot reasoning about the meanings of human activities. Sci. Robotics 4(26) (2019) - [c241]Vincent Dietrich, Bernd Kast, Michael Fiegert, Sebastian Albrecht, Michael Beetz:
Automatic Configuration of the Structure and Parameterization of Perception Pipelines. ICAR 2019: 312-319 - [c240]Pawel Gajewski, Paulo Abelha Ferreira, Georg Bartels, Chaozheng Wang, Frank Guerin, Bipin Indurkhya, Michael Beetz, Bartlomiej Sniezynski:
Adapting Everyday Manipulation Skills to Varied Scenarios. ICRA 2019: 1345-1351 - [c239]Andrei Haidu, Michael Beetz:
Automated Models of Human Everyday Activity based on Game and Virtual Reality Technology. ICRA 2019: 2606-2612 - [c238]Patrick Mania, Michael Beetz:
A Framework for Self-Training Perceptual Agents in Simulated Photorealistic Environments. ICRA 2019: 4396-4402 - [c237]Gayane Kazhoyan, Michael Beetz:
Executing Underspecified Actions in Real World Based on Online Projection. IROS 2019: 5156-5163 - [c236]Asil Kaan Bozcuoglu, Yuki Furuta, Kei Okada, Michael Beetz, Masayuki Inaba:
Continuous Modeling of Affordances in a Symbolic Knowledge Base. IROS 2019: 5452-5458 - [c235]Mohammed Diab, Mihai Pomarlan, Daniel Beßler, Aliakbar Akbari, Jan Rosell, John A. Bateman, Michael Beetz:
An Ontology for Failure Interpretation in Automated Planning and Execution. ROBOT (1) 2019: 381-390 - [i12]Ferenc Balint-Benczedi, Michael Beetz:
Amortized Object and Scene Perception for Long-term Robot Manipulation. CoRR abs/1903.12302 (2019) - [i11]Ferenc Bálint-Benczédi, Jan-Hendrik Worch, Daniel Nyga, Nico Blodow, Patrick Mania, Zoltán-Csaba Márton, Michael Beetz:
RoboSherlock: Cognition-enabled Robot Perception for Everyday Manipulation Tasks. CoRR abs/1911.10079 (2019) - [i10]Marco Costanzo, Simon Stelter, Ciro Natale, Salvatore Pirozzi, Georg Bartels, Alexis Maldonado, Michael Beetz:
Manipulation Planning and Control for Shelf Replenishment. CoRR abs/1912.11018 (2019) - 2018
- [j60]Simon Stelter, Georg Bartels, Michael Beetz:
Multidimensional Time-Series Shapelets Reliably Detect and Classify Contact Events in Force Measurements of Wiping Actions. IEEE Robotics Autom. Lett. 3(1): 320-327 (2018) - [j59]Sebastian G. Brunner, Peter Lehner, Martin J. Schuster, Sebastian Riedel, Rico Belder, Daniel Leidner, Armin Wedler, Michael Beetz, Freek Stulp:
Design, Execution, and Postmortem Analysis of Prolonged Autonomous Robot Operations. IEEE Robotics Autom. Lett. 3(2): 1056-1063 (2018) - [j58]Asil Kaan Bozcuoglu, Gayane Kazhoyan, Yuki Furuta, Simon Stelter, Michael Beetz, Kei Okada, Masayuki Inaba:
The Exchange of Knowledge Using Cloud Robotics. IEEE Robotics Autom. Lett. 3(2): 1072-1079 (2018) - [c234]Daniel Beßler, Mihai Pomarlan, Michael Beetz:
OWL-enabled Assembly Planning for Robotic Agents. AAMAS 2018: 1684-1692 - [c233]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. CoRL 2018: 714-723 - [c232]Asil Kaan Bozcuoglu, Gayane Kazhoyan, Yuki Furuta, Simon Stelter, Michael Beetz, Kei Okada, Masayuki Inaba:
The Exchange of Knowledge Using Cloud Robotics. ICRA 2018: 1-8 - [c231]Vincent Dietrich, Bernd Kast, Philipp S. Schmitt, Sebastian Albrecht, Michael Fiegert, Wendelin Feiten, Michael Beetz:
Configuration of Perception Systems via Planning Over Factor Graphs. ICRA 2018: 1-7 - [c230]Michael Beetz, Daniel Beßler, Andrei Haidu, Mihai Pomarlan, Asil Kaan Bozcuoglu, Georg Bartels:
Know Rob 2.0 - A 2nd Generation Knowledge Processing Framework for Cognition-Enabled Robotic Agents. ICRA 2018: 512-519 - [c229]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 Teams. IROS 2018: 1421-1428 - [c228]Andrei Haidu, Daniel Beßler, Asil Kaan Bozcuoglu, Michael Beetz:
KnowRobSIM - Game Engine-Enabled Knowledge Processing Towards Cognition-Enabled Robot Control. IROS 2018: 4491-4498 - [c227]Jonathan Crespo, Ramón Barber, Óscar Martínez Mozos, Daniel Beßler, Michael Beetz:
Reasoning Systems for Semantic Navigation in Mobile Robots. IROS 2018: 5654-5659 - [c226]Ferenc Balint-Benczedi, Michael Beetz:
Variations on a Theme: "It's a Poor Sort of Memory that Only Works Backwards". IROS 2018: 8390-8396 - [c225]Lisset Salinas Pinacho, Alexander Wich, Fereshta Yazdani, Michael Beetz:
Acquiring Knowledge of Object Arrangements from Human Examples for Household Robots. KI 2018: 131-138 - [c224]Daniel Beßler, Mihai Pomarlan, Aliakbar Akbari, Muhayyuddin, Mohammed Diab, Jan Rosell, John A. Bateman, Michael Beetz:
Assembly Planning in Cluttered Environments Through Heterogeneous Reasoning. KI 2018: 201-214 - [c223]Daniel Beßler, Sebastian Koralewski, Michael Beetz:
Knowledge Representation for Cognition- and Learning-enabled Robot Manipulation. CogRob@KR 2018: 11-19 - [i9]Pawel Gajewski, Paulo Abelha Ferreira, Georg Bartels, Chaozheng Wang, Frank Guerin, Bipin Indurkhya, Michael Beetz, Bartlomiej Sniezynski:
Adapting Everyday Manipulation Skills to Varied Scenarios. CoRR abs/1803.02743 (2018) - [i8]Gayane Kazhoyan, Michael Beetz:
Specializing Underdetermined Action Descriptions Through Plan Projection. CoRR abs/1812.08224 (2018) - [i7]Gayane Kazhoyan, Arthur Niedzwiecki, Michael Beetz:
Towards Plan Transformations for Real-World Pick and Place Tasks. CoRR abs/1812.08226 (2018) - 2017
- [j57]Karinne Ramirez-Amaro, Michael Beetz, Gordon Cheng:
Transferring skills to humanoid robots by extracting semantic representations from observations of human activities. Artif. Intell. 247: 95-118 (2017) - [j56]Moritz Tenorth, Michael Beetz:
Representations for robot knowledge in the KnowRob framework. Artif. Intell. 247: 151-169 (2017) - [j55]Lars Kunze, Michael Beetz:
Envisioning the qualitative effects of robot manipulation actions using simulation-based projections. Artif. Intell. 247: 352-380 (2017) - [j54]Karinne Ramirez-Amaro, Humera Noor Minhas, Michael Zehetleitner, Michael Beetz, Gordon Cheng:
Added Value of Gaze-Exploiting Semantic Representation to Allow Robots Inferring Human Behaviors. ACM Trans. Interact. Intell. Syst. 7(1): 5:1-5:30 (2017) - [c222]Mihai Pomarlan, Daniel Nyga, Mareike Picklum, Sebastian Koralewski, Michael Beetz:
Deeper Understanding of Vague Instructions through Simulated Execution. AAMAS 2017: 1694-1696 - [c221]Jan Oliver Winkler, Asil Kaan Bozcuoglu, Mihai Pomarlan, Michael Beetz:
Task Parametrization through Multi-modal Analysis of Robot Experiences. AAMAS 2017: 1754-1756 - [c220]Fereshta Yazdani, Matthias Scheutz, Michael Beetz:
Cognition-enabled Task Interpretation for Human-Robot Teams in a Simulation-based Search and Rescue Mission. AAMAS 2017: 1772-1774 - [c219]Michael Beetz, Matthias Scheutz, Fereshta Yazdani:
Guidelines for improving task-based natural language understanding in human-robot rescue teams. CogInfoCom 2017: 203-208 - [c218]Ferenc Balint-Benczedi, Zoltan-Csaba Marton, Maximilian Durner, Michael Beetz:
Storing and retrieving perceptual episodic memories for long-term manipulation tasks. ICAR 2017: 25-31 - [c217]Asil Kaan Bozcuoglu, Michael Beetz:
A cloud service for robotic mental simulations. ICRA 2017: 2653-2658 - [c216]Daniel Nyga, Mareike Picklum, Sebastian Koralewski, Michael Beetz:
Instruction completion through instance-based learning and semantic analogical reasoning. ICRA 2017: 4270-4277 - [c215]Daniel Nyga, Mareike Picklum, Michael Beetz:
What no robot has seen before - Probabilistic interpretation of natural-language object descriptions. ICRA 2017: 4278-4285 - [c214]Gayane Kazhoyan, Michael Beetz:
Programming robotic agents with action descriptions. IROS 2017: 103-108 - [c213]Mihai Pomarlan, Sebastian Koralewski, Michael Beetz:
From Natural Language Instructions to Structured Robot Plans. KI 2017: 344-351 - [c212]