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
https://ai.uni-bremen.de/team/michael_beetz

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

  • How metacognitive architectures remember their own thoughts: a systematic scoping review (2026)

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    Published at: Artificial Intelligence Review (Volume: 59)
    DOI: 10.1007/s10462-026-11669-5

  • CogniFuse and Multimodal Deformers: An Extended Study on Benchmarking and Modeling Biosignal Fusion (2026)

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    Published at: IEEE Transactions on Biomedical Engineering (Volume: 73)
    DOI: 10.1109/TBME.2026.3691190

  • From Frames to Pouring: The CRAM Cognitive Architecture for Everyday Robot Manipulation (2026)

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    Published at: Ki Kunstliche Intelligenz
    DOI: 10.1007/s13218-026-00917-z

  • GRIM: Task-Oriented Grasping with Conditioning on Generative Examples (2026)

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    Published at: Proceedings of the Aaai Conference on Artificial Intelligence (Volume: 40)
    DOI: 10.1609/aaai.v40i22.38873

  • Multi-Agent Mental Models for Cooperation of Heterogeneous Robots in a Space Scenario (2026)

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    Published at: IEEE Aerospace Conference Proceedings
    DOI: 10.1109/AERO66936.2026.11519927

  • Editorial: Knowledge, Learning, Planning and Human Behavior Modeling for Autonomous Social Robots (2025)

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    Published at: International Journal of Social Robotics (Volume: 17)
    DOI: 10.1007/s12369-025-01334-2

  • Robot manipulation in everyday activities with the CRAM 2.0 cognitive architecture and generalized action plans (2025)

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    Published at: Cognitive Systems Research (Volume: 92)
    DOI: 10.1016/j.cogsys.2025.101375

  • A roadmap for AI in robotics (2025)

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    Published at: Nature Machine Intelligence (Volume: 7)
    DOI: 10.1038/s42256-025-01050-6

  • Knowledge Representation and Reasoning (2025)

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    Published at: Robotics Goes Mooc Knowledge
    DOI: 10.1007/978-3-319-74095-9_7

  • Implementation and Application of a Knowledge Service for AUV Mission Explainability (2025)

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    Published at: 2025 IEEE Underwater Technology Ut 2025
    DOI: 10.1109/UT61067.2025.10947388