List of publications describing parts of the system, or relevant to the project.
Jesse Richter-Klug, Patrick Mania, Gayane Kazhoyan, Michael Beetz, and Udo Frese. Improving object pose estimation by fusion with a multimodal prior – utilizing uncertainty-based cnn pipelines for robotics. IEEE Robotics and Automation Letters, 7(2):2282–2288, 2022. doi:10.1109/LRA.2022.3140450.
Gayane Kazhoyan, Simon Stelter, Franklin Kenghagho Kenfack, Sebastian Koralewski, and Michael Beetz. The robot household marathon experiment. In IEEE International Conference on Robotics and Automation (ICRA). 2021. Accepted for publication. URL: https://arxiv.org/abs/2011.09792.
Patrick Mania, Franklin Kenghagho Kenfack, Michael Neumann, and Michael Beetz. Imagination-enabled robot perception. In International Conference on Intelligent Robots and Systems (IROS). 2021. Best Paper Award on Cognitive Robotics.
Ferenc Balint-Benczedi. Task adaptabled, Pervasive Perpception for Robots Performing Everyday Manipulation. PhD thesis, University of Bremen, 2020. URL: http://nbn-resolving.de/urn:nbn:de:gbv:46-00108604-10.
Franklin Kenghagho Kenfack, Feroz Ahmed Siddiky, Ferenc Balint-Benczedi, and 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. URL: https://www.researchgate.net/publication/344953602_RobotVQA_-A_Scene-Graph-and_Deep-Learning-based_Visual_Question_Answering_System_for_Robot_Manipulation.
Patrick Mania and Michael Beetz. A framework for self-training perceptual agents in simulated photorealistic environments. In International Conference on Robotics and Automation (ICRA). Montreal, Canada, 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. accepted for publication.
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.
M. Durner, S. Kriegel, S. Riedel, M. Brucker, Z-Cs. Marton, F. Balint-Benczedi, M. Beetz, and R. Triebel. Optimizing the perfomance of robotic percption utilizing logged experiences. In In proceedings of IEEE International Conference on Advanced Robotics (ICAR). IEEE, 2017.
Ferenc Balint-Benczedi, Patrcik Mania, and Michael Beetz. Scaling perception towards autonomous object manipulation — in knowledge lies the power. In International Conference on Robotics and Automation (ICRA). Stockholm, Sweden, 2016.
Ferenc Balint-Benczedi, Thiemo Wiedemeyer, Moritz Tenorth, Daniel Beßler, and Michael Beetz. A knowledge-based approach to robotic perception using unstructured information management. In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Istanbul, Turkey, 2015.
Michael Beetz, Ferenc Balint-Benczedi, Nico Blodow, Daniel Nyga, Thiemo Wiedemeyer, and Zoltan-Csaba Marton. Robosherlock: unstructured information processing for robot perception. In IEEE International Conference on Robotics and Automation (ICRA). Seattle, Washington, USA, 2015. Best Service Robotics Paper Award, Finalist for the Best Conference Paper Award.
Thiemo Wiedemeyer, Ferenc Balint-Benczedi, and Michael Beetz. Pervasive 'calm' perception for autonomous robotic agents. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagen Systems. ACM, 2015.
Jan-Hendrik Worch, Ferenc Balint-Benczedi, and Michael Beetz. Perception for everyday human robot interaction. KI - Künstliche Intelligenz, pages 1–7, 2015. doi:10.1007/s13218-015-0400-1.
Nico Blodow. Managing Belief States for Service Robots: Dynamic Scene Perception and Spatio-temporal Memory. PhD thesis, Intelligent Autonomous Systems Group, Department of Informatics, Technische Universität München, 2014.
Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Oscar Martines Mozos, Nico Blodow, Asako Kanezaki, Lucian-Cosmin Goron, Dejan Pangercic, and Michael Beetz. Part-based geometric categorization and object reconstruction in cluttered table-top scenes. Journal of Intelligent and Robotic Systems, pages 1–22, 2014. doi:10.1007/s10846-013-0011-8.
Daniel Nyga, Ferenc Balint-Benczedi, and Michael Beetz. Pr2 looking at things: ensemble learning for unstructured information processing with markov logic networks. In IEEE International Conference on Robotics and Automation (ICRA). Hong Kong, China, May 31-June 7 2014.