Michael Beetz

Michael Beetz

beetz(at)cs[dot]uni-bremen[dot]de
+49 (0)421 218 64001
Institution: University of Bremen
Department: Institute for Artificial Intelligence
Position: Director

Cognition-enabled robotics, knowledge representation and reasoning, planning for autonomous robots, everyday activity science and engineering

  • Towards a Neuronally Consistent Ontology for Robotic Agents (2023)

    Authors: Florian Ahrens, Mihai Pomarlan, Daniel Beßler, Thorsten Fehr, Michael Beetz, Manfred Herrmann

    Published at: Frontiers in Artificial Intelligence and Applications (Volume: 372)
    DOI: 10.3233/FAIA230251

  • Knowledge-Driven Robot Program Synthesis from Human VR Demonstrations (2023)

    Authors: Benjamin Alt, Franklin Kenghagho Kenfack, Andrei Haidu, Darko Katic, Rainer Jäkel, Michael Beetz

    Published at: Proceedings of the International Conference on Knowledge Representation and Reasoning

  • Towards Reactive Robotics with a Pinch of Image-Schematic Reasoning (2023)

    Authors: Mihai Pomarlan, Kaviya Dhanabalachandran, Michael Beetz

    Published at: CEUR Workshop Proceedings (Volume: 3511)

  • Towards a Cognitive Architecture for Marine Robots (2023)

    Authors: Jeremy Paul Coffelt, Michael Beetz, Peter Kampmann

    Published at: OCEANS 2023 - Limerick, OCEANS Limerick 2023
    DOI: 10.1109/OCEANSLimerick52467.2023.10244274

  • Robotic Shopping Assistance for Everyone: Dynamic Query Generation on a Semantic Digital Twin as a Basis for Autonomous Shopping Assistance (2023)

    Authors: Michaela Kümpel, Alina Hawkin, Jonas Dech, Michael Beetz

    Published at: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS (Volume: 2023-May)

  • Foundational Models for Manipulation Activity Parsing (2023)

    Authors: Daniel Beßler, Robert Porzel, Mihai Pomarlan, Michael Beetz

    Published at: Springer Proceedings in Business and Economics
    DOI: 10.1007/978-3-031-25390-4_10

  • Robotizing the Sterility Testing Process: Scientific Challenges for Bringing Agile Robots into the Laboratory (2023)

    Authors: Anthony Remazeilles, Irati Rasines, Asier Fernandez, Maike Neumann, Michael Beetz, Mathieu Grossard, Clive Hellingman, Carl-Helmut Coulon, Torben Cichon, Florian Gosselin, Markus Vincze

    Published at: Lecture Notes in Networks and Systems (Volume: 589 LNNS)
    DOI: 10.1007/978-3-031-21065-5_19

  • Kineverse: A Symbolic Articulation Model Framework for Model-Agnostic Mobile Manipulation (2022)

    Authors: Adrian Rofer, Georg Bartels, Wolfram Burgard, Abhinav Valada, Michael Beetz

    Published at: IEEE Robotics and Automation Letters (Volume: 7)
    DOI: 10.1109/LRA.2022.3146515

  • Improving object pose estimation by fusion with a multimodal prior – Utilizing uncertainty-based CNN pipelines for robotics (2022)

    Authors: Jesse Richter-Klug, Patrick Mania, Gayane Kazhoyan, Michael Beetz, Udo Frese

    Published at: IEEE Robotics and Automation Letters (Volume: 7)
    DOI: 10.1109/LRA.2022.3140450

  • Action Selection and Execution in Everyday Activities: A Cognitive Robotics and Situation Model Perspective (2022)

    Authors: David Vernon, Josefine Albert, Michael Beetz, Shiau-Chuen Chiou, Helge Ritter, Werner X. Schneider

    Published at: Topics in Cognitive Science (Volume: 14)
    DOI: 10.1111/tops.12569