Publications
2020
Journal Articles and Book Chapters
| [1] | Mohammed Diab, Mihai Pomarlan, Daniel Beßler, Aliakbar Akbari, Jan Rosell, John Bateman, Michael Beetz, "SkillMaN -- A skill-based robotic manipulation framework based on perception and reasoning", In Robotics and Autonomous Systems, Elsevier, vol. 134, pp. 103653, 2020. [bib] |
| [2] | Marco Costanzo, Simon Stelter, Ciro Natale, Salvatore Pirozzi, Georg Bartels, Alexis Maldonado, Michael Beetz, "Manipulation Planning and Control for Shelf Replenishment", In IEEE Robotics and Automation Letters, IEEE, vol. 5, no. 2, pp. 1595-1601, 2020. [bib] |
Conference Papers
| [3] | 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. [bib] [pdf] |
| [4] | 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. [bib] [doi] |
| [5] | 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. [bib] [doi] |
| [6] | Daniel Beßler, Robert Porzel, Mihai Pomarlan, Michael Beetz, Rainer Malaka, John A. Bateman, "A Formal Model of Affordances for Flexible Robotic Task Execution", In ECAI 2020 - 24th European Conference on Artificial Intelligence, IOS Press, vol. 325, pp. 2425-2432, 2020. [bib] [pdf] [doi] |
Workshop Papers
| [7] | 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. [bib] [pdf] |
| [8] | 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 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. [bib] [pdf] |
Other Publications
| [9] | Patrick Mania, Franklin Kenghagho Kenfack, Michael Neumann, Michael Beetz, "Imagination-enabled Robot Perception", arXiv preprint, 2020. arXiv preprint [bib] [pdf] |
| [10] | Gayane Kazhoyan, Simon Stelter, Franklin Kenghagho Kenfack, Sebastian Koralewski, Michael Beetz, "The Robot Household Marathon Experiment", 2020. [bib] [pdf] |
| [11] | Daniel Robert Porzel Mihai Pomarlan Abhijit Vyas Sebastian Höffner Michael Beetz Rainer Malaka Beßler, John Bateman, "Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents", 2020. [bib] |
| [12] | Ferenc Balint-Benczedi, "Task adaptabled, Pervasive Perpception for Robots Performing Everyday Manipulation", PhD thesis, University of Bremen, 2020. [bib] [pdf] |
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Prof. Michael Beetz PhD
Head of Institute
Managing Directors:
Dr. habil. Hagen Langer
Sabine Veit
http://ai.uni-bremen.de
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AI-enabled robots