Key result 1: Generalized action plans in the CRAM Plan Language (CPL) Executive
Selected publications regarding key result 1:
Cognitive Manipulation
- 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.
- 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
- Daniel Sebastian Leidner. Cognitive reasoning for compliant robot manipulation, volume 127. Springer, 2019b. Dissertation Thesis won the Georges Giralt PhD Award.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.