Selected publications regarding key result 1:

Cognitive Manipulation

  1. Martin Meier, Robert Haschke, and Helge J. Ritter. From Geometries to Contact Graphs. In Artificial Neural Networks and Machine Learning – ICANN 2020 – 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part II, volume 12397, pages 546–555. Springer, 2020. Best Paper Award.
  2. Daniel Leidner, Georg Bartels, Wissam Bejjani, Alin Albu-Schäffer, and Michael Beetz. Cognition-enabled robotic wiping: Representation, planning, execution, and interpretation. Robotics and Autonomous Systems, 114:199–216, 2019
  3. Daniel Sebastian Leidner. Cognitive reasoning for compliant robot manipulation, volume 127. Springer, 2019b. Dissertation Thesis won the Georges Giralt PhD Award.
CRAM Plan Executive
  1. Gayane Kazhoyan, Alina Hawkin, Sebastian Koralewski, Andrei Haidu, and 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), 2020a.
  2. Gayane Kazhoyan, Arthur Niedzwiecki, and Michael Beetz. Towards Plan Transformations for Real-World Mobile Fetch andPlace. In IEEE International Conference on Robotics and Automation (ICRA), 2020b.
  3. Gayane Kazhoyan and Michael Beetz. Executing Underspecified Actions in Real World Based on Online Projection. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 5156–5163, 2019b.
  4. Sebastian Koralewski, Gayane Kazhoyan, and Michael Beetz. Self-Specialization of General Robot Plans Based on Experience. In IEEE Robotics and Automation Letters, 4 (4):3766–3773, 2019.
  5. Gayane Kazhoyan and Michael Beetz. Programming Robotic Agents with Action Descriptions. In IEEE/RSJ InternationalConference on Intelligent Robots and Systems (IROS), pages 103–108, Vancouver, Canada, Sept 2017.
  1. Jesse Richter-Klug and Udo Frese. Towards Meaningful Uncertainty Information for CNN Based 6D Pose Estimates. In International Conference on Computer Vision Systems, pages 408–422. Springer, 2019
  2. Ferenc Balint-Benczedi and Michael Beetz. Variations on a theme: ’it’s a poor sort of memory that only works backwards’. In International Conference on Intelligent Robots and Systems. IEEE, 2018.
  3. Ferenc Balint-Benczedi, Zoltan-Csaba Marton, Maximilian Durner, and Michael Beetz. Storing and retrieving perceptual episodic memories for long-term manipulation tasks. In Proceedings of the 2017 IEEE International Conference on Advanced Robotics (ICAR). Hong-Kong, China, July 2017. Finalist for Best Paper Award.